Data Engineer

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Company Description

Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.

Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.

We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.



Our Data Engineer plays a key role in automating and optimising data products, using advanced data engineering practices and maintaining high-quality standards. This involves ensuring the smooth performance and movement of large-scale clinical and genomic data by selecting the right tools and methods.

As a Data Engineer, you'll collaborate with other technical experts and product leaders to create efficient and effective data delivery solutions. These solutions will help researchers and clinicians by improving efficiency, enhancing data quality, and integrating with core data catalogues and systems.

This is a highly technical position where you'll work with a variety of tools to establish a strong foundation for acquiring, storing, transforming, and managing organisational data.

Everyday responsibilities include:


Develop and execute specifications for data acquisition, transformation, lineage, de-identification, metadata capture, and integration with master and reference data.
Leverage the latest healthcare data solutions by working with cutting-edge cloud technologies.
Implement and enable best practices for efficient and secure data storage.
Establish and implement best practices for pipeline development, covering all elements of the data lifecycle.
Apply strong skills in application development and implementation, with a focus on data-driven solutions.
Champion first-class coding practices and set high standards for development.
Work closely with QA teams to define robust testing and automation standards.
Provide data-related training and guidance to team members and colleagues across departments.
Develop and share in-depth knowledge of healthcare applications, data standards, and regulatory constraints.
Design healthcare data models and associated frameworks to meet organisational needs.
Explore and innovate at the forefront of data technologies to deliver impactful solutions. Skills and Experience for success:


Strong understanding of cloud principles, including storage, compute, execution, disaster recovery, point-in-time recovery, versioning, and performance tuning.
Expert SQL skills with a proven track record of delivering value to stakeholders.
Extensive expertise in cloud architecture and solution design, with a focus on AWS.
Proven ability to develop new functionality within existing systems and tools, as well as optimise and modernise legacy solutions for improved performance.
Proficiency in Python programming, with hands-on experience using orchestration tools such as Prefect and Airflow.
Familiarity with setting and adhering to high standards in software development, including practices for code development and deployment like CI/CD pipelines.
Experience using infrastructure-as-code technologies to ensure consistent, reliable deployment of both applications and infrastructure.
A passion for solving complex technical challenges while delivering high-quality, meaningful solutions that support organisational goals.

Qualifications

Ideally, a Master’s degree or equivalent experience working in data, biostatistics, informatics or data analysis or engineering.

Additional Information

Salary from £73,000

Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:


Generous Leave:
30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly:
Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
Pension & Financial:
Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
Learning & Development:
Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards:
Employee recognition programme and referral scheme.
Health & Wellbeing:
Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.

Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.

Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to

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