Data Transformation Specialist
2 weeks ago
We are seeking a skilled Data Transformation Specialist to join our multidisciplinary team at Our Future Health, a UK-based charity dedicated to developing new ways to detect, prevent, and treat diseases. The successful candidate will be part of a pioneering programme that aims to bring together 5 million volunteers from across the UK to contribute information towards creating a comprehensive picture of people's health.
This role offers an exciting opportunity to work with genetic data, collaborating with scientists, software engineers, product managers, and other data specialists to deliver high-quality data releases used globally. As a Data Transformation Specialist, you will play a crucial role in designing, building, and testing pipelines using various technologies, ensuring repeatable and reusable products.
Key responsibilities include:
- Supporting the development of data pipelines from data providers to our primary data store and trusted research environment.
- Producing logic for data transformation steps as code, meeting requirements for end users and delivering well-crafted, accessible, and quality-controlled data for analysis.
- Developing prototypes for pipelines for complex transformations drawing on existing workflows developed in industry and academia.
- Staying up-to-date with best practices in data engineering across industry, research, and government, and facilitating the adoption of standards.
- Providing technical input into upstream parts of the data pipeline, including specification and transfer of data from data providers.
- Routine ad-hoc data curation activities requiring hands-on development of bespoke ETL cleaning scripts using languages such as Python.
Requirements:
You will have a solid understanding and experience of bioinformatics, particularly tools and methods associated with genomic data. To succeed in this role, you will possess some of the following skills:
- Experience working in an agile development team following best practices like code review and pairing.
- Familiarity with version control and Git/GitHub.
- Able to design, build, and test pipelines using a range of different technologies, knowing how to create repeatable and reusable products.
- Experience with storing, searching, and filtering large-scale genomic data.
- Good understanding of cloud environments (ideally Azure), distributed computing, and scaling workflows and pipelines.
- Proficient in Python.
- Experience with workflow management tools, e.g., Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster.
- Understanding of common data transformation and storage formats, e.g., Apache Parquet.
- Experience working with data lakes; experience with Spark, Databricks.
- Understanding of containerisation, e.g., Docker.
- Awareness of data standards such as GA4GH (https://www.ga4gh.org/) and FAIR (https://www.go-fair.org/fair-principles/).
- Understanding and working knowledge of information governance and data security approaches appropriate for sensitive health data.
Benefits:
- Up to £60,000 per annum basic salary.
- Generous company pension package with employer contributions of up to 12%.
- 30 days annual leave (plus bank holidays).
- Continuous career development with regular appraisals and learning and development opportunities.
- Lovely office in Holborn, Central London – we offer flexible and remote working arrangements.
An estimated salary for this role is around £60,000 per annum, based on the location and industry standards.
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