14 jobs found

Job Title: Principal Embedded Software Engineer Location: North West & Yorkshire Offices Salary: Up to £75k (depending on experience) We re partnering with an established technology engineering organisation seeking a Principal Embedded Software Engineer to lead software architecture, technical delivery, and development strategy across advanced embedded systems. This is a senior, hands-on role combining system architecture, embedded software development, and project ownership. A key aspect of this position is applying electrical power systems knowledge and protection function theory within embedded control environments. If you re a senior embedded engineer looking to influence architecture, lead delivery, and work on complex real-time systems, we want to hear from you! About the Role Define and own embedded software architecture and technical direction Lead delivery of complex embedded projects to time and quality targets Develop and maintain robust C/C++ embedded codebases Translate system requirements into structured deliverables Guide design decisions and review implementation approaches Oversee testing strategy, documentation, and release quality Identify technical risks and implement mitigation strategies Drive Agile processes and continuous improvement practices Collaborate cross-functionally with engineering and project stakeholders About you Degree (or equivalent experience) in Computer Science, Electronics, or similar Advanced C/C++ embedded development experience Strong background in embedded systems design Experience working with real-time operating systems (e.g., FreeRTOS) Solid understanding of multithreading and concurrency Networking knowledge including TCP/IP, UDP and secure communications Experience with embedded Linux or RTOS environments Knowledge of electrical power systems and protection function theory Experience delivering commercial embedded products end-to-end Peripheral interfacing experience (SPI, I2C, memory interfaces) Debugging complex real-time or multithreaded systems Desirable Experience Linux-based embedded platforms or containerised environments Python or scripting languages CI/CD pipelines and DevOps tooling Industrial communication protocols or automation systems Cybersecurity concepts within embedded environments Cloud or enterprise platform integration Wireless communications (WiFi, Bluetooth, Zigbee) Please note, we cannot offer sponsorship for this role. If interested, please send over an updated CV.

A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you're looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together. Key Responsibilities Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects. You must have at least 4 years Python experience Experience with Typescript and a years Javascript Key Requirements Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database schema design and query optimisation. Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features. Lead code reviews and technical discussions, and contribute to architectural decisions. Lead complex coding tasks; ensure code quality. Identify and resolve performance and scalability issues. Write clean, maintainable, and well-documented code. Mentor and support junior and mid-level engineers. Stay current with emerging technologies and industry trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions.

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge, real-world AI solutions across a diverse client portfolio. This is a rare opportunity to build and lead an AI capability from the ground up, while staying hands-on with the latest technologies, from Machine Learning and Data Science through to GenAI. You'll work at the intersection of technical excellence and client impact, solving meaningful business problems at scale. You will get the opportunity to lead the design and delivery of production-grade AI solutions for global clients whilst building and mentoring a high performing team. Alongside this, you will be able to stay hands on with modern AI technologies including LLMs and GenAI What You'll Be Doing Designing, building, and deploying end-to-end AI/ML systems (from classical ML to GenAI) Developing robust, production-ready pipelines covering data ingestion, modelling, deployment, and monitoring Driving best-in-class MLOps practices, including CI/CD, model versioning, automated retraining, and rollback strategies Ensuring solutions are scalable, secure, and high-performing in real-world environments Defining future-proof AI architectures aligned with client goals Assessing and applying emerging technologies (eg LLMs, vector databases) where they create tangible value Partnering with clients during discovery, demos, and delivery-translating business needs into technical solutions Mentoring and developing engineers and data scientists through hands-on leadership What We're Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas, and guiding decisions is key. Hybrid work model: 2-3 days/week in the office (London) Salary: £100 000 - £120 000 depending on experience + 10-15% bonus

Principal / Lead Engineer Python / Cloud / Terraform / IAM / DevOps / infrastructure-as-a-code IaC Rate: Circa 600 - 700 PD (Outside IR35), 6 Months Location: London / Hybrid x2 days We are seeking an experienced Principal / Lead Engineer to join a highly ambitious organisation building a large-scale, mission-critical data and technology platform. This is a unique opportunity to join at the earliest stages of a major programme and play a key role in shaping its technical foundations. Working closely with the CTO and a small team of senior engineers, you will lead the design and implementation of core infrastructure, establish engineering standards and practices, and make architectural decisions that will have long-term strategic impact. If you enjoy solving complex technical challenges, influencing technology strategy, and creating robust engineering foundations, this role offers an exceptional opportunity to make a lasting impact. Role & Responsibilities Technical Leadership Lead the design and implementation of foundational platform infrastructure and engineering capabilities Define architectural patterns, engineering standards, and best practices that will guide future development Partner closely with the CTO and senior stakeholders to make and document key technical decisions Promote secure-by-design principles across all aspects of platform development Establish and maintain core engineering tooling, including source control, CI/CD pipelines, infrastructure-as-code, and automated testing frameworks Platform Engineering Design and implement identity and access management solutions with robust authentication and authorisation controls Build and manage cloud infrastructure using modern infrastructure-as-code approaches Develop audit, workflow, and operational capabilities to support governance and compliance requirements Implement networking, monitoring, and security controls for highly secure environments Evaluate and integrate appropriate open-source technologies and third-party components Contribute to the design and delivery of scalable, resilient, and maintainable distributed systems Collaboration & Team Development Act as a senior technical contributor within a high-performing engineering team Mentor engineers and help establish a strong engineering culture as the organisation grows Collaborate with product, design, and delivery teams to ensure technology solutions align with business objectives Engage with external partners, suppliers, and stakeholders where required Essential Skills & Experience Proven experience leading or making significant contributions to complex distributed, cloud-native, or federated systems Strong software engineering expertise in Python, including backend development, automation, and infrastructure tooling Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud) Strong experience implementing Infrastructure as Code using tools such as Terraform or equivalent Experience designing and building authentication and authorisation systems, including modern identity standards and policy-based access controls Solid understanding of data storage architectures and the trade-offs between different storage and query patterns Experience establishing CI/CD pipelines and engineering best practices within modern software environments Ability to work effectively in fast-moving environments with evolving requirements and limited precedent Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Desirable Skills & Experience Experience building secure, highly regulated, or mission-critical platforms Familiarity with federated architectures and distributed data access models Experience designing solutions with strong governance, auditability, and security requirements Knowledge of privacy-preserving technologies and secure computing environments Experience evaluating, adopting, or contributing to open-source technologies Background working within complex stakeholder environments undergoing significant transformation

About Scrumconnect Consulting At Scrumconnect Consulting, we help organisations deliver high-quality digital services through agile delivery, modern engineering practices, and user-centred design. Our teams work across a range of complex transformation programmes, building scalable, secure, and accessible solutions that create meaningful impact. We are looking for a highly experienced Principal Software Developer to provide technical leadership, shape engineering strategy, and drive the successful delivery of complex software solutions across multiple projects and teams. Role Overview As a Principal Software Developer, you will play a key role in defining technical direction, establishing engineering best practices, and mentoring development teams. You will collaborate with architects, product managers, delivery teams, and stakeholders to design and deliver robust, scalable, and secure software solutions. This role requires a strong technical background, excellent leadership skills, and the ability to influence engineering decisions across an organisation. Key Responsibilities Provide technical leadership across multiple projects and delivery teams. Define and drive software engineering standards, best practices, and development frameworks. Design scalable, resilient, secure, and maintainable software architectures. Lead the delivery of complex software solutions from concept through to production. Collaborate with product, delivery, architecture, and business stakeholders to align technical solutions with organisational objectives. Conduct architecture reviews, code reviews, and technical design sessions. Mentor and support software engineers, senior developers, and technical leads. Drive continuous improvement initiatives across development processes and tooling. Champion DevOps, CI/CD, cloud-native development, and automation practices. Identify and mitigate technical risks while ensuring high-quality delivery outcomes. Support recruitment, technical assessments, and capability development within engineering teams. Stay up to date with emerging technologies and industry trends, recommending improvements where appropriate. Essential Skills & Experience Extensive experience in software development and technical leadership roles. Strong expertise in one or more programming languages such as: Java JavaScript/TypeScript Node.js C# Python Go Experience designing and delivering large-scale distributed systems and microservices architectures. Strong understanding of cloud platforms such as: AWS Azure Google Cloud Platform (GCP) Experience implementing CI/CD pipelines and DevOps practices. Strong knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience with API design, integration patterns, and event-driven architectures. Excellent understanding of software engineering principles, design patterns, and coding standards. Experience working within Agile delivery environments. Strong stakeholder management and communication skills. Proven experience mentoring and leading engineering teams. Desirable Skills Experience working within public sector or regulated environments. Knowledge of security, accessibility, and compliance requirements. Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.). Experience with data platforms, analytics, or AI-enabled solutions. Experience contributing to enterprise architecture and technology strategy. Relevant cloud, architecture, or engineering certifications. What We Offer Competitive salary and benefits package. Opportunity to work on impactful digital transformation programmes. Flexible and collaborative working environment. Professional development and learning opportunities. Access to a highly skilled community of engineers, architects, and delivery professionals. Career progression opportunities within a growing consultancy. Diversity & Inclusion Scrumconnect Consulting is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from candidates of all backgrounds, experiences, and perspectives. We believe that diversity strengthens our teams and helps us build better solutions for our clients and communities. If you require any reasonable adjustments during the recruitment process, please let us know and we will be happy to support you.

PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership

Python Developer Watford, Hertfordshire (Hybrid) £70,000 - £75,000 per annum + Excellent benefits On behalf of an industry Leading organisation, I am seeking a Python Developer with strong production experience building high-throughput, message-driven platforms. This role suits someone comfortable working on real-world, always-on systems where reliability, performance, and clear engineering judgement matter as much as clean code. The business is pleased to offer this role on a hybrid basis with a non-negotiable 3 days in office; therefore, you must be within easy reach of their Watford-based offices. Responsibilities: Collaborate closely with Principal Engineers. Provide technical guidance, insight, and mentorship to other engineers. Participate in peer reviews and offer constructive feedback. Support product stakeholders in shaping the roadmap. Contribute to best practices and engineering standards across the wider engineering organization. Participate in modern software development practices including pairing, code reviews, documentation reviews, testing, and continuous delivery. Translate requirements into implementable technical specifications and tasks. Maintain accurate and reliable technical documentation. Provide regular updates on progress, timelines, risks, and dependencies. Lead troubleshooting and incident resolution, including occasional out-of-hours support. Ensure unit tests are implemented and fit for purpose. Research and evaluate new technologies that could benefit the organisation. Design and develop high-quality Python software that meets complex business needs. Ensure code, documentation, and testing align with engineering standards. Deliver solutions that meet acceptance criteria, performance expectations, and operational reliability. Integrate products with monitoring and support tooling. Experience/Skills required: Experienced Senior Engineer who can make sound trade-offs, design for scale, and contribute to complex systems without over-engineering. Strong engineering judgement and real-world delivery experience. Senior-level experience designing and building production Back End services in Python (3.10+). Strong background in high-throughput, message-based or event-driven systems. Proven experience building API-first services, with a focus on performance, reliability, and maintainability. Python Back End development, primarily using FastAPI and modern API patterns. Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger. Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar. Cloud-native development experience is essential (ideally on Azure). Hands-on experience with containerisation (Docker) and orchestration platforms such as Kubernetes. Exposure to building and supporting shared or internal libraries used across multiple services.

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: .

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