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Senior Data Engineer
Our Future Health UKSenior Data Engineer building scalable data pipelines for healthcare research. Collaborating with scientists and engineers to develop high-quality data solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data pipelines, transforming healthcare data into common data models such as OMOP and FHIR, and leveraging cloud technologies like Azure and Databricks. Proficient in Python and committed to engineering best practices, ensuring high-quality data solutions and effective communication with diverse stakeholders.
Highest-signal resume keywords
Data Engineering ExperiencePython ProficiencyHealthcare Data Standards KnowledgeCloud Platform ExperienceAgile Delivery Team Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData Transformation LogicData Quality ControlCommon Data ModelsHealthcare TerminologiesData Storage FormatsContainerization TechnologiesOrchestration TechnologiesCommand-Line SkillsUnix/Linux Skills
Soft Skills
Effective CommunicationCollaborationProblem-Solving
Tools & Technologies
AzureDatabricksSparkData LakesGit/GitHubDockerKubernetes
Industry Keywords
Healthcare DataLife SciencesHealth TechnologyResearchData Governance
Tech Stack
Tools & technologiesApacheAzureCloudDockerKubernetesLinuxPythonSparkUnix
About the role
Key responsibilities & impact- Designing and building scalable data pipelines that ingest healthcare data from multiple providers into trusted research environments and data platforms.
- Developing and maintaining data transformation logic in Python to create high-quality, curated and research-ready datasets.
- Contributing to complex, shared codebases while following engineering best practices including code reviews, testing and clean coding standards.
- Collaborating with data scientists, epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions.
- Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls.
- Transforming and harmonising healthcare data into common data models such as OMOP and FHIR to support research and analytical use cases.
- Creating reusable, scalable and maintainable data products that enable efficient consumption by multiple stakeholders.
- Communicating effectively with technical and non-technical stakeholders to translate complex requirements into practical engineering solutions.
- Producing clear and comprehensive technical documentation covering data pipelines, transformation logic, architecture and operational processes.
- Supporting the design, scoping and implementation of data flows across the wider healthcare data ecosystem.
- Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions.
- Adopting and promoting data engineering best practices, healthcare data standards and continuous improvement across the team.
- Keeping abreast of emerging trends, technologies and standards within healthcare, research and data engineering to drive innovation and excellence.
Requirements
What you’ll need- Proven Data Engineering experience within complex, large-scale data environments.
- Experience designing, building and maintaining scalable, reliable data pipelines that process large volumes of data from multiple sources.
- Experience working with healthcare data across academia, healthcare, life sciences, health technology or related sectors.
- Knowledge of healthcare data standards and common data models, including OMOP and/or FHIR.
- Experience transforming and remodelling data between different Common Data Models (CDMs).
- Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes.
- Experience contributing to shared codebases and developing reusable, maintainable data solutions.
- Proficiency in Python and software engineering best practices.
- Good command-line and Unix/Linux skills.
- Experience working with cloud platforms, ideally Microsoft Azure.
- Experience using technologies such as Spark, Databricks and data lake architectures.
- Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake.
- Experience with containerisation and orchestration technologies, including Docker and Kubernetes.
- Experience using Git/GitHub and working within collaborative development environments.
- Experience working within Agile delivery teams.
Benefits
Comp & perks- Competitive base salary from £74,000 per annum
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave – Supporting you during life’s biggest moments
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements