18 jobs found

Principal Engineer - Full-Stack (Java & React) Up to £130,000 - London - 3 days per week onsite Harvey Nash have partnered with a global consultancy that helps major organisations modernise their technology, build scalable digital products, and tackle complex engineering challenges. They partner with brands across finance, retail, tech scale-ups and highly regulated environments delivering high-impact solutions at speed. They're now hiring multiple Principal Engineer's, people who can lead architecture and delivery, advise clients at a senior level, stay hands-on with modern engineering, and shape the technical direction of major projects. What You'll Be Doing Lead the design and implementation of full-stack applications using technologies like Java, Python and Typescript. Have experience or exposure to frameworks like Spring, Flask and React. Acting as a senior technical consultant, guiding clients through complex engineering decisions. Mentoring and uplifting engineering teams, driving best practice across delivery. Owning architectural decisions and contributing to long-term technical strategy. Ensuring engineering excellence via code reviews, design governance and DevOps/Agile practices. Managing delivery expectations, timelines and stakeholder relationships. What They're Looking For Essential: Strong background as a senior/principal full-stack engineer (Back End + Front End). Proficiency in Java, Python, JavaScript/TypeScript or similar. Understanding of AI-powered development practices and how they improve the SDLC. Expertise in software design patterns, architecture and scalable system design. Experience leading engineering teams, coaching developers and influencing technical direction. Strong consulting mindset - able to translate complex problems into clear solutions. Proven experience in Agile environments and modern DevOps workflows. Desirable: Cloud experience (AWS, Azure or GCP) - including serverless. Knowledge of Docker, Kubernetes or other container technology. What Makes This Opportunity Stand Out This consultancy offers one of the strongest people-focused benefits packages in the market. Highlights include: Work-Life Balance & Time Off Growth & Development Health & Wellbeing Financial Benefits Discretionary bonus scheme

Hedge Fund PERM GCP Cloud Security Engineer - GCP, AWS, Azure, Python, Bash, IAM, Terraform, Automation Cloud Security Engineer The successful candidate will be a subject matter expert with hands-on experience in a wide range of cloud technologies, tools and methodologies. The role is suited for an experienced Cloud Engineer with focus in Google Cloud Platform, the candidate must have proven understanding in enterprise security and will focus on building toolsets and processes. Principal Responsibilities Contribute to the vision, strategy, and drive execution for integrated security controls across Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS) and for Google Cloud Platform (GCP) efforts. Able to demonstrate clear understanding of current risks and threats to Cloud infrastructure and/or IT infrastructures at technical and managerial levels. Ability to conduct Red Team security testing tasks in GCP to continuously assess security posture in GCP platform Drive Identity and Access Management (IAM), configuration management, and monitoring strategy for GCP platform. Provide security consultancy and engineering support for cloud security solutions including analysis and development of Google, and other security solutions. Provide architecture assurance on Cloud security initiatives and compliance of existing security standards interfacing with infrastructure and development teams. Maintain the security infrastructure tools that are built on the Cloud platform, providing stability and policies and procedures. Support the development and delivery of a comprehensive ISP for the entire organization. Perform periodic and on-demand system audits and vulnerability assessments of systems, internal applications and Cloud services to identify security vulnerabilities. Monitor compliance with the organization's information security policies and procedures among employees, contractors and third parties. Manage remediation efforts for any gaps reported in audits or recommended process improvements. Provide support to Security and other technical operations staff to ensure smooth turnover from Engineering to Production Qualifications/Skills Required Bachelor's degree in Computer Science or Engineering preferred. 5+ years experience working in a technical role with a minimum of 3+ years experience focusing on Information Security in the financial industry (preferred). Solid understanding of GCP security controls and best practices to secure cloud resources in a hybrid environment. Knowledge of VPC Service Controls is a plus. Deep expertise with Identity and Access Management (IAM) in GCP, including but not limited, Workload Identity Federation, IAM role usage analysis, Organizational Constraints, Cloud Identity, etc. Proficiency in software development and Scripting in Python is required. Hands-on experience in building security guardrails in GCP to allow for innovation without compromising security posture Demonstrated expertise in Infrastructure as Code tooling using Terraform Strong knowledge and experience in a variety of technologies including UNIX, Networking, Databases, and Storage. Strong knowledge of Information security controls. Knowledge of software development security and cryptography, AI security. CISSP/CCSK or GCP security related certifications is a plus. Permanent Role - Central London based - candidate must be eligible to work in the UK (no sponsorship) By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Join Our Client's Innovative Team as a Software Engineer (DevOps)! Are you ready to take your software engineering skills to the next level in the dynamic banking industry? Our client is on the lookout for a talented Software Engineer (DevOps) to help shape the future of financial technology. If you thrive in a fast-paced environment, have a passion for automating processes, and are eager to mentor others, we want to hear from you! What You'll Do: As a Software Engineer (DevOps), you'll be at the forefront of transforming our client's development practices. Your responsibilities will include: Coding & Testing: Design and implement automated unit tests and code solutions to meet defined acceptance criteria and compliance requirements. Architectural Integrity: Modify architecture components and application interfaces while maintaining the integrity of principal architecture. Mentorship: Guide and mentor fellow software engineers on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stacks. Story Refinement: Execute story refinement and define requirements, estimating work necessary to deliver stories through the life cycle. Proof of Concept: Conduct proof of concept as needed to introduce new ideas or mitigate risks. Automation: Automate manual release activities and design, develop, and maintain automated test suites (integration, regression, performance). Troubleshooting: Identify and resolve build and setup failures, ensuring smooth execution and delivery. Communication: Regularly update technology partners on project status, functionality, quality, performance, and timelines. What You Bring: To succeed in this role, you should have: Technical Expertise: Proficiency in agile development methodologies and DevOps practices. Hands-on experience with tools such as GIT/Bitbucket, Jenkins, SonarQube, and Ansible. Application development skills in languages like Python, MongoDB, Redis, and React Framework. Familiarity with Unix/Linux platforms and LDAP-based authentication integration. Strong analytical and problem-solving skills. Experience developing frameworks for AI/ML applications - DESIRED Familiarity with cloud platforms and development in cloud environments is DESIRED Why Join Us? This is not just a job; it's an opportunity to be part of a forward-thinking organization that values innovation and collaboration. You'll work alongside passionate professionals who are dedicated to pushing boundaries and delivering exceptional solutions in the banking sector. If you're ready to embrace new challenges, lead by example, and make a significant impact, we invite you to apply today! Let's build the future of banking together! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Job title: Principal Software Engineer Location: Oxford - Hybrid Salary: up to 75,000 Job Type: Permanent Organisation Overview Our Client operates within the high-tech instrumentation sector, specialising in advanced measurement solutions for scientific and industrial applications. Recognised for its innovative approach and commitment to excellence, Our Client fosters a collaborative and growth-oriented environment that values creativity, technical expertise, and continuous learning. They are dedicated to delivering cutting-edge products that drive scientific discovery and industry advancements. Working here provides opportunities to be at the forefront of scientific innovation, supported by a culture that encourages professional development and teamwork. Role Summary Due to ongoing growth and strategic development initiatives, Our Client is seeking an experienced Principal Software Engineer to lead the development of sophisticated software applications and drivers for its range of specialised products. This pivotal role is fundamental to enabling the organisation to meet its ambitious technical goals and to maintain its reputation for precision and reliability. The position offers the chance to influence project outcomes significantly, drive technical excellence, and support innovative measurement solutions on a global scale. Responsibilities Lead the creation and enhancement of high-quality software features within agile project teams, ensuring delivery aligns with project timelines and specifications. Assume ownership of technical solutions across designated projects, including participating in design reviews and architectural decisions. Develop comprehensive project documentation to facilitate ongoing maintenance and future development efforts by teams and internal partners. Provide technical leadership and mentorship to the software team, sharing expertise and guiding best practices. Offer technical support during all phases of product lifecycle, from initial installation to ongoing operation. Collaborate closely with colleagues across departments to develop integrated and innovative technological solutions. Drive continuous improvement by recommending new tools, techniques, and processes to enhance product quality and development efficiency. Maintain a strong understanding of emerging trends, tools, and techniques within the software engineering and scientific domains. Contribute to personal and organisational growth by engaging in ongoing learning, understanding customer needs, and proposing new features to boost product performance. Ensure compliance with health, safety, and environmental standards, taking personal responsibility for a safe working environment. Undertake additional tasks as required to support Our Client's strategic objectives. Essential Skills & Experience Degree in Software Engineering, Physics, Materials Science, or related scientific discipline. Extensive experience with software development in C++, including control systems and complex application design. Proficiency with network and communication protocols. Familiarity with development tools such as CMake, GIT or similar source control, bug tracking systems, and debugging tools. Knowledge of Python programming and distributed system concepts. Experience working with database interactions and SQL Proven track record in delivering high-quality software solutions in a scientific or industrial setting. Strong organisational skills and ability to work effectively within a team. Excellent problem-solving, communication, and documentation skills. Awareness of project management methodologies. Desirable Skills & Experience Experience with measurement data analysis in physical sciences. Knowledge of laboratory or industrial control systems. Familiarity with cultural responsiveness and global collaboration. Experience in innovation-driven environments and customer-focused project delivery. If you are a proactive and detail-oriented software engineer with the expertise to lead critical projects and deliver high impact solutions, we invite you to submit your CV for consideration. Join Our Client's team and be part of pioneering scientific advancements that push the boundaries of knowledge.

OSS Developer (Python) Full Time (FTC 1 year) Hybrid 1 day a month Bristol but will have to travel to sites Salary: £43,000 - £58,000 OSS Developer ( Python) wanted to help lead and build a Tech4Good project based in Bristol. You'll be creating and building a community to develop a platform based in an open-source environment The Role: We are looking for an OSS Developer (Python) to join a team to help build, develop and maintain a platform to help create a community focused on building low volume digital device production. This developer will own the technical strategy and roadmap for the platform driving the Community engagement, liaising across multiple teams and stakeholders, including industry, academics and people within the maker/hacker community. Tech stack: Python Django Open source - evolution of code Responsibilities Using high-level expertise, collaborate with key stakeholders to deliver specialist technical services. Develop creative and innovative solutions in area of expertise, to advance specific software solutions methods and practices. Evaluate, interpret, analyse, and present complex data from outputs Contribute to wider developments and changes in specific open-source Software projects Design, build and/or adapt specialist software to provide innovative solutions. Share professional expertise and contribute to knowledge exchange in specialist field. Working with key stakeholders (eg Principal Investigators, researchers, external customers, or other service users) to provide specialist solutions in the planning and design of research experiments. Defining accurate methods and providing detailed results, analysis and interpretation of data. Maintain awareness of developments and changes in specific area of practice Planning & Organising Resources Plan and prioritise own workload to best meet service demands. Manage a delegated budget, and grant budgets as appropriate, ensuring sufficient consumables and resources are available for service delivery. Contribute to short, medium and long-term planning to improve services impacted upon by the specialism. Relevant Experience, Skills and Knowledge Extensive open-source development experience Production-level Python and Django expertise Strong understanding of modern software engineering practice Excellent organisation and ability to manage multiple projects simultaneously Proven ability to design, review, and deliver complex, innovative solution Capable of working autonomously to meet project and organisational goals Consistently accurate, precise, and detail-focused in all work Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

OSS Developer (Python) Full Time (FTC 1 year) Hybrid 1 day a month Bristol but will have to travel to sites Salary: £43,000 - £58,000 OSS Developer ( Python) wanted to help lead and build a Tech4Good project based in Bristol. You'll be creating and building a community to develop a platform based in an open-source environment The Role: We are looking for an OSS Developer (Python) to join a team to help build, develop and maintain a platform to help create a community focused on building low volume digital device production. This developer will own the technical strategy and road map for the platform driving the Community engagement, liaising across multiple teams and stakeholders, including industry, academics and people within the maker/hacker community. Tech stack: Python Django Open source - evolution of code Responsibilities Using high-level expertise, collaborate with key stakeholders to deliver specialist technical services. Develop creative and innovative solutions in area of expertise, to advance specific software solutions methods and practices. Evaluate, interpret, analyse, and present complex data from outputs Contribute to wider developments and changes in specific open-source Software projects Design, build and/or adapt specialist software to provide innovative solutions. Share professional expertise and contribute to knowledge exchange in specialist field. Working with key stakeholders (eg Principal Investigators, researchers, external customers, or other service users) to provide specialist solutions in the planning and design of research experiments. Defining accurate methods and providing detailed results, analysis and interpretation of data. Maintain awareness of developments and changes in specific area of practice Planning & Organising Resources Plan and prioritise own workload to best meet service demands. Manage a delegated budget, and grant budgets as appropriate, ensuring sufficient consumables and resources are available for service delivery. Contribute to short, medium and long-term planning to improve services impacted upon by the specialism. Relevant Experience, Skills and Knowledge Extensive open-source development experience Production-level Python and Django expertise Strong understanding of modern software engineering practice Excellent organisation and ability to manage multiple projects simultaneously Proven ability to design, review, and deliver complex, innovative solution Capable of working autonomously to meet project and organisational goals Consistently accurate, precise, and detail-focused in all work Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension

Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension

Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension

Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension

Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London

Staff Engineer - Optimisation and Machine Learning London (Hybrid - 3 days in office) Permanent I'm looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments and make genuine breakthroughs. The Company They are a well-funded Life Sciences automation company that's scaling fast. They're using robotics and intelligent software to fundamentally change how scientific labs operate with industrial-scale optimisation. What You'll Actually Be Doing You'll be the technical lead on some genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics that actually perform at scale Technical leadership : Shaping the technical direction and mentoring other engineers What We're Looking For Deep optimisation knowledge : You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting - proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant solutions to complex problems Any experience in laboratory automation, pharma/biotech, or industrial automation would be beneficial but is not essential. Applicants with strong optimisation backgrounds from supply chain or manufacturing would also be of interest. Why This Role Works Real impact : Your optimisation algorithms will directly influence scientific research happening in labs worldwide Technical depth : Complex problems that require genuine engineering skill, not just following tutorials Hybrid flexibility : 3 days in London office, 2 days remote Strong backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration.