About the Team
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, 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.
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:
Analyse existing data pipelines and identify areas for improvement, optimisation, and scalability.
Work closely with Bioinformaticians and annotators to integrate data pipelines with existing systems and applications.
Monitor data pipeline performance, troubleshoot issues, and implement solutions to ensure reliability and efficiency.
Stay current with industry trends and best practices in data engineering and recommend new technologies or tools to enhance data infrastructure.
Document data pipelines, processes, and workflows for internal reference and knowledge sharing.
Join us in shaping the future of structural biology data. In this role, you’ll use your IT skills and creative ideas to support and scale vital resources like the PDB, PDBe, PDBe-KB and AFDB—ensuring they remain robust, sustainable, and ready for tomorrow’s scientific challenges.
MSc in computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise
Expert in Data Modelling and Advanced SQL
Proficiency in Python programming
Proficiency in ETL (Extract, Transform, Load) processes and tools for large-scale data processing.
Strong understanding of relational databases
Strong understanding of relational databases with hands-on experience across multiple RDBMS platforms:
PostgreSQL: Deep knowledge of PostgreSQL database architecture, performance tuning, partitioning strategies, indexing techniques, and query optimisation
Oracle: Extensive experience with Oracle databases, including PL/SQL, Oracle-specific features, and performance optimisation
MySQL/MariaDB: Familiarity with alternative RDBMS platforms for data migration and compatibility scenarios
Experience with database migration
Proven experience in migrating databases between different RDBMS platforms, specifically:
Oracle to PostgreSQL migration: Hands-on experience with Oracle to PostgreSQL migration projects, including understanding of compatibility layer (pg_proguard), data type mapping, stored procedure conversion, trigger migration, and handling Oracle-specific features in PostgreSQL
Data migration best practices: Experience with migration tools such as Oracle Data Pump, GoldenGate, custom ETL scripts, and data validation strategies
Migration planning: Ability to plan and execute migration projects, including downtime management, data consistency verification, and rollback strategies
Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios
Proficiency in data warehousing (Redshift, BigQuery)
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Proficiency in oral and written English
PhD in computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise
Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms
Hands-on experience with CI/CD (GitLab CI/GitHub Actions)
Familiarity with Java
Familiarity with Google Cloud Platform or AWS
Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications
Familiarity with Neo4J or other graph databases is an added advantage
Familiarity with data visualisation (Tableau, PowerBI)
Knowledge of, or affinity with, structural biology and bioinformatics
Experience working in international teams
Other helpful information
Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will be available everyday, but our team work two days on site and three from home.
Interviews: We plan to hold first round technical introductory meetings with selected candidates remotely starting Early July 2026.
Contract length: Grant based contract for 3 years
Salary: Grade 5 monthly salary starting at £3,303 per month after tax but excluding pension and insurance contributions. Plus generous benefits.
Why join us
Do something meaningful
At EMBL-EBI you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available databases and tools which are crucial for the advancement of healthcare, food security, and biodiversity.
Join a culture of innovation
We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside. This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Watch this video to see how EMBL-EBI makes an impact.
Enjoy lots of benefits:
Financial incentives: Monthly family, child and non-resident allowances, annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
Flexible working arrangements - including hybrid working patterns
Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
Generous time off: 30 days annual leave per year, in addition public holidays
Relocation package including installation grant (if required)
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)
Family benefits: On-site nursery, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
Benefits for non-UK residents: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non-resident allowance.
For detailed information please visit our employee benefits page here.
What else you need to know
International applicants: We recruit internationally and successful candidates are offered visa exemptions. Please take a look at our International Applicants page for further information.
EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here.
Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.
How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date.
Closing Date
28/06/2026