11 jobs found

Job Title: Research & Technology Scientist / Engineer Location: Hailsham, East Sussex Hours: 37.5 hours per week, Monday to Friday, 8:30am-5:00pm Working pattern: Permanent, fully site-based TPA Recruit is supporting a specialist advanced materials engineering business in the appointment of a Research & Technology Scientist / Engineer based in Hailsham. This role offers the opportunity to work across advanced materials, metallurgy, additive manufacturing, process engineering and technology development. The Research & Technology Scientist / Engineer will contribute to projects spanning scientific research, technology maturation, engineering development, process optimisation and commercial deployment. Working within a multidisciplinary team, you will combine experimental investigation, engineering development, data analysis and, where appropriate, computational modelling. The position can suit an early-career scientist or engineer with strong technical potential through to an experienced specialist capable of leading complex programmes. Key Responsibilities Lead research and technology projects from concept through to implementation and commercial application, including cost, time and resource planning. Design, plan and execute experimental programmes, producing clear working instructions and test methodologies. Analyse technical and experimental data to improve process performance, equipment capability and technology outcomes. Develop scientific and engineering investigations supporting new materials, processes, technologies and equipment. Evaluate emerging technologies and identify opportunities aligned with the organisation's strategic objectives. Support computational modelling activities, including CFD and FEA where appropriate. Collaborate with customers, universities, suppliers, consortium partners and internal teams to deliver project outcomes. Translate scientific findings into practical engineering solutions and commercially viable technologies. Prepare technical reports, project documentation, funding reports and presentations, including alloy composition and structural data. Represent the business at customer meetings, conferences, exhibitions and industry events. Provide technical support to manufacturing, design, sales and other business functions. Qualifications and Experience Degree, MSc or PhD in Materials Science, Metallurgy, Applied Mathematics, Chemical Engineering, Physics, Applied Physics, Physical Chemistry or a related scientific or engineering discipline. Experience delivering technical projects within an industrial, research or academic environment. Strong analytical, problem-solving and critical-thinking capability. Ability to prepare technical reports and communicate findings clearly to varied stakeholders. Competence using Microsoft Excel; experience with Microsoft Project is advantageous. Ability to work independently while contributing effectively within multidisciplinary teams. Full UK driving licence and willingness to undertake occasional UK and international travel. Relevant Technical Experience Experience or knowledge in one or more of the following areas would be valuable: Additive manufacturing, powder metallurgy or gas atomisation. Induction heating, vacuum systems or pressure systems. Fluid mechanics, thermofluids, CFD or FEA. Chemical vapour deposition (CVD) or physical vapour deposition (PVD). Fluidised bed processing, advanced materials development or process scale-up. Experimental design, statistical analysis and technology transfer. The Successful Candidate The successful Research & Technology Scientist / Engineer will be self-motivated, technically curious and comfortable working with the uncertainty involved in innovation. You will be organised, capable of managing several workstreams and enthusiastic about developing expertise across emerging technologies. Benefits 25 days' annual leave plus bank holidays. Exposure to internationally focused advanced materials projects. Opportunities for professional development, technical leadership and collaboration with academic and industrial partners. This Research & Technology Scientist / Engineer position is fully site-based in Hailsham and cannot be performed remotely.

Day Rate: Competitive Contract: 3-month contract Location: Remote Overview of the Pricing Data Engineer role Sellick Partnership is currently supporting a leading insurance organisation as they look to appoint an experienced Pricing Data Engineer to support their Pricing team on an interim basis. This is an immediate requirement for a highly experienced SQL specialist to support a busy pricing function with the re-coding, optimisation and testing of complex SQL data extracts. The successful candidate will work with large codebases and support the delivery of pricing data extracts in line with agreed templates and project timescales. Key responsibilities of the Pricing Data Engineer will include Reviewing and rewriting complex SQL code snippets, including large-scale codebases Supporting the re-code of pricing data extracts in line with agreed templates Completing end-to-end testing, validation and productionisation of data extracts Optimising SQL code, query performance and execution plans Supporting pipeline execution through Azure Data Factory Using Azure DevOps boards and repositories to manage code and delivery activity Working with version control tools such as GIT Collaborating with pricing stakeholders to ensure data extracts meet business requirements Required experience for the Pricing Data Engineer position will include Advanced SQL experience, including dynamic SQL and code optimisation Strong experience reviewing, rewriting and testing complex SQL code Experience with Azure DevOps, including boards and repositories Experience using Azure Data Factory, including pipelines Experience with GIT or other version control software Ability to work independently and deliver quickly within a remote contract environment Previous experience within an insurance environment would be highly advantageous How to apply for the Pricing Data Engineer position If you would like to apply for this opportunity, please submit your CV today. Alternatively, for a confidential discussion, please contact the Actuarial team at Sellick Partnership. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Summary We are seeking an experienced Embedded DevOps Engineer to design, implement, and maintain robust CI/CD pipelines, automation frameworks, and deployment solutions for Embedded and edge computing platforms. The role focuses on accelerating software delivery, improving system reliability, enabling secure device management, and supporting large-scale deployment of Embedded applications across distributed environments. Key Responsibilities DevOps & CI/CD Design, implement, and maintain CI/CD pipelines for Embedded software and edge applications. Automate build, test, packaging, and deployment processes. Establish and maintain software versioning, release management, and artifact repositories. Improve build efficiency, deployment reliability, and development productivity. Embedded Platform & Device Management Support development and deployment of Embedded Linux-based systems. Manage device provisioning, configuration, software updates, and life cycle management. Implement secure remote deployment and rollback mechanisms. Support fleet-wide software rollout strategies and operational monitoring. Test Automation & Quality Develop and integrate automated testing frameworks including unit, integration, system, and hardware-in-the-loop (HIL) testing. Integrate quality gates and automated validation into CI/CD workflows. Monitor and improve software quality, test coverage, and deployment success rates. Infrastructure & Reliability Manage build infrastructure, development environments, and deployment platforms. Implement Infrastructure as Code (IaC) and configuration management solutions. Monitor system performance, availability, and operational health. Troubleshoot build, deployment, and runtime issues across environments. Security & Compliance Implement secure software delivery practices and DevSecOps controls. Support vulnerability management, patching, and software supply chain security. Ensure compliance with organizational security and governance requirements. Maintain traceability of software artifacts throughout the release life cycle. Collaboration Work closely with Embedded Software Engineers, Platform Engineers, QA teams, Security teams, and Product Owners. Drive adoption of DevOps best practices and continuous improvement initiatives. Contribute to technical standards, documentation, and engineering processes. Required Skills & Experience Technical Skills Strong experience with Linux-based environments and system administration. Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. Proficiency in Scripting and automation using Python, Bash, or similar languages. Strong knowledge of Git and source control management. Experience with Docker and containerized development workflows. Experience with Infrastructure as Code tools such as Terraform or Ansible. Embedded Systems Experience working with Embedded Linux platforms and cross-compilation environments. Understanding of Embedded software development life cycles. Familiarity with device provisioning, firmware/software updates, and deployment strategies. Knowledge of hardware-software integration and debugging processes. Monitoring & Observability Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Ability to analyze system metrics and troubleshoot production issues. Preferred Qualifications Experience with Yocto, Buildroot, or similar Embedded Linux build systems. Knowledge of Kubernetes and container orchestration platforms. Experience with edge computing, IoT platforms, or distributed device management. Familiarity with secure development life cycle (SDLC) and DevSecOps practices. Experience working in regulated or mission-critical environments. Our interview process We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. Equal Opportunities Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

Senior C# Software Engineer X 4 Are you a talented C# and Azure developer ready to take ownership of innovative projects across Web, Desktop, and Cloud environments? Our client, a well-established and forward-thinking software development company, is expanding its team and seeking an exceptional Senior C# Software Engineer to help shape the next generation of their technology solutions. This is not just another coding role - it s a chance to lead projects, influence architecture, and make a measurable impact on the products you help deliver. About the Role As a Senior C# Software Engineer, you ll play a key role in delivering high-quality, scalable, and performant software across a range of cutting-edge systems - from cloud-based platforms to on-premise solutions. You ll work closely with a team of talented developers and stakeholders, contributing to technical decisions and ensuring best practices are followed throughout the development lifecycle. Tech Stack You ll Work With Languages & Frameworks: C#, .NET Core, ASP.NET Core MVC, Web API Cloud & Data: Azure Functions, Azure Storage, Cosmos DB, Azure SQL UI & Front-End: WPF, Blazor, SignalR, Skia DevOps & Integration: Azure DevOps, CI/CD pipelines, B2B Web APIs Key Responsibilities Lead the design and development of innovative, high-performance software solutions. Translate high-level requirements into clear, efficient, and maintainable code. Influence software architecture and DevOps strategy for cloud-based systems. Collaborate with cross-functional teams to deliver quality applications on time. Drive best practices in code quality, testing, and continuous integration. Support products through the full lifecycle - from build to deployment and beyond. About You We re looking for someone who goes beyond the basics - a developer who not only writes great code but also understands the bigger picture. You ll be able to show how your technical expertise and ideas have delivered real business value, whether through performance improvements, process automation, or technical innovation. You should bring: Strong experience in C# / .NET Core development (ideally 5+ years). Proven experience with Azure cloud technologies and CI/CD. A passion for clean architecture, maintainable code, and problem-solving. Excellent communication skills and a collaborative mindset. Show Us What You Can Do To help us understand your technical strengths and creativity, please include: Links to your GitHub, GitLab, or Bitbucket repositories, especially where you ve contributed meaningful or original code. Examples of personal projects or libraries you ve created or contributed to. A short note about how your work has made a difference - whether through innovation, optimisation, or technical leadership. We re looking for engineers who demonstrate passion, depth, and impact - not just experience. What s in It for You Competitive salary based on experience Flexible working hours and remote working options A supportive, modern working culture that values creativity, learning, and collaboration Interested? If you re ready to take the next step in your career and work on exciting, high-impact projects, click Apply Now - or share your CV and GitHub link. Senior C# Software Engineer X 4

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: .

80507- Protection and Commissioning Engineer This Protection and Commissioning Engineer will report to the Lead Protection and Commissioning Engineer and will work within Capital Programme based in several locations in our SPN licence area. You will be a permanent employee. You will attract a salary of 80,557 plus car and a bonus of 3%. If you are successful, you will need to undertake a medical and DBS reference check Should you not have the full range of essential skills, qualifications and competencies listed below, there may be an opportunity for further training to equip you. If you do not have all relevant competencies for the core grade, it will be appropriate to appoint at a lower grade until you have developed the required competencies. Close Date: .05/10/2025 We also provide the following additional benefits 25 Days Annual Leave plus bank holidays. Reservist Leave - Additional 18 days full pay and 22 unpaid Personal Pension Plan - Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%) Tenancy Loan Deposit Scheme, Season Ticket Loan Tax efficient benefits: Cycle to Work, Home & Tech, and Green Car Leasing Schemes Occupational Health support Switched On - scheme providing discount on hundreds of retailers' products Discounted gym membership Employee Assistance Programme Job Purpose Plan and perform commissioning testing of all types of substation equipment at all voltage levels following current procedures. Provide Design / Standards support Perform witnessing of manufacturers commissioning tests to ensure quality assurance and compliance. Knowledge and Experience Required You will hold either a relevant engineering degree or Higher National HNC/HND qualification. It is desirable that you have network operational experience as an Authorised Person (AP) of which, a period of time would be as a commissioning engineer. This is a complex field requiring high technical understanding and proficiency and will include the ability to apply practical engineering sense from first principles using a logical disciplined approach to problem solving. Additional IT skills will allow interaction from laptop to complex modern relay schemes to programme, test, extract fault records and interpret results with a right first-time approach. Principal Accountabilities Ensure safety management prevail throughout all areas and that safety performance is maintained within parameters defined by the Executive. Promote the zero harm philosophy. Plan and manage the programme of commissioning work testing and plant acceptance testing leading to safe energisation and successful project completion for both internal and external customers. Develop and agree commissioning plans and programmes for projects applying sound engineering knowledge to set standards and ensure through and complete testing of new schemes. At design reviews working with in-house, contractor and supplier experts, evaluate designs which deliver optimisation and leads to scheme design understanding, reduced risk and complete testing methodology. Check and apply software programmable logic and settings to protection schemes checking operational and making adjustments to the scheme logic. During commissioning testing, diagnose problems and propose modifications to scheme design to provide desired operability. As a recognised expert, investigate, advise, diagnose and correct mal operations that occur during the life of the equipment. Drawing on the skills of senior commissioning engineers, collaboration with technical experts in other organisations propose the root cause and to develop permanent solutions to the issues. Often this is required to tight timescales when network equipment has failed in service. Work with Network Control, planning and authorising safe energisation of plant on to the network. To ensure that Customer Minutes Lost (CML) and Customer Interruptions (CI) are minimised as a result of the activities of commissioning new plant and that schemes will deliver lower numbers over the life of the project. To witness contractors testing and to coordinate the use of test sheets, test routines and policy applied. Ensure that all settings applied to relays are confirmed back into our database before energisation. All as built records are completed by contractors and employees to ensure records of work are maintained. Nature and Scope Commissioning and the associated quality assurance occur throughout the process of delivering the network capital programme. From the early broad design review to detailed design checks at the later stages. Equipment is checked, tested, safely energised and records updated as part of the process. The role is one of teamwork with many other specialists and colleagues. Commissioning equipment requires communication and understanding with technical staff Contractors, Suppliers, and Customers and internally with designers and project managers. Technical problems that occur on site are normally handled locally where you will find a way to achieve the end often without reference to higher authority. Applying precedents, you will make decisions about a way forward. Often there is no right answer. For this reason, communication must be unambiguous. Risk is often reduced by an ability to understand and rationalise conflicting points of view to reach an optimum solution. Work is normally on sites with varying degrees of accommodation. The majority of the work is site-based including outdoor and indoor construction areas and site-based office locations. Work often takes place outside normal hours to lower the risk of customer interruptions whilst new plant is commissioned and tested. The planning process towards this can be very long term. There will be limited technical guidance provided and you may have to request help. General remote managerial supervision is provided. You will contribute to the development of commissioning testing. Outline rules and policies exist to guide staff. New developments are being incorporated into designs all the time resulting in your learning. Commissioning engineers are often required to provide expertise to operational staff when faults or failures affect customers' supplies. The workload tends to be peaked towards the summer and early winter months and as a result of network outage risk, customer requirements and the demands of the programme require flexible working times. You will have to work outside normal hours. You will be a major influence on prioritisation and planning of work. Decisions on testing and energisation lay with you. You will normally be the technical authority on site for solving problems, faults, failures.