The Velankar team maintains macromolecular structure databases that form essential resources for biologists and other life scientists worldwide. PDBe is a founding partner of the Worldwide Protein Data Bank organisation (wwPDB; wwpdb.org), which maintains the global archive of 3D structural data on macromolecules the Protein Data Bank (PDB). The PDBe team also develops the PDBe Knowledge Base (PDBe-KB) and AlphaFold Protein Structure Database (AFDB). The PDBe team is international and inter-disciplinary and consists of expert data curators, bioinformaticians, scientific software developers and IT specialists.
Your role
We seek a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in optimising and enhancing our data pipelines, ensuring efficient data processing, storage and retrieval. You will work closely with cross-functional teams to analyse requirements, propose new data pipeline architectures, and implement solutions to improve performance and scalability.
The tasks for this post include the following:
1. Analyse existing data pipelines and identify areas for improvement, optimisation, and scalability.
2. Work closely with Bioinformaticians and annotators to integrate data pipelines with existing systems and applications.
3. Monitor data pipeline performance, troubleshoot issues, and implement solutions to ensure reliability and efficiency.
4. Stay current with industry trends and best practices in data engineering and recommend new technologies or tools to enhance data infrastructure.
5. Document data pipelines, processes, and workflows for internal reference and knowledge sharing.
The successful candidate will report directly to the PDBe Technical Project Lead as a Technical Officer. This post is an opportunity for the right person to bring IT skills and innovative ideas to help sustain the growing amount of structural biology data in the PDB and ensure that PDBe, PDBe-KB and AFDB services remain sustainable.
You have
6. MSc in computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise
7. Expert in Data Modelling and Advanced SQL
8. Proficiency in Python programming
9. Proficiency in ETL (Extract, Transform, Load) processes and tools for large-scale data processing.
10. Strong understanding of relational databases (Oracle, PostgreSQL) and experience optimising database performance.
11. Proficiency in data warehousing (Redshift, BigQuery)
12. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
13. Proficiency in oral and written English
You might also have
14. PhD in computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise
15. Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms
16. Hands-on experience with CI/CD (GitLab CI/GitHub Actions)
17. Familiarity with Java
18. Familiarity with Google Cloud Platform or AWS
19. Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications
20. Familiarity with Neo4J or other graph databases is an added advantage
21. Familiarity with data visualisation (Tableau, PowerBI)
22. Knowledge of, or affinity with, structural biology and bioinformatics
23. Experience working in international teams
Apply now! Benefits and Contract Information
24. Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child allowance of £314 per child. Non resident allowance up to £532 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
25. Hybrid working arrangements
26. Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
27. Generous time off: 30 days annual leave per year, in addition to eight bank holidays
28. Relocation package including installation grant (as applicable)
29. Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)
30. Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
31. Contract duration: This position is a 1 year 8 months project based contract
32. Salary: UK Equivalent £48,613.00 (Total package will be dependant on family circumstances)
33. International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.
34. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.
35. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.
To apply, please submit a covering letter and CV via our online system. Applications will close on 12.05.2024.