JOB DETAILS

JOB BAND: C
CONTRACT TYPE: Full-time / Fixed-term
DEPARTMENT: BBC Chief Customer Officer Group
LOCATION: London - London Broadcasting House
PROPOSED SALARY RANGE: £40,000-£44,000

We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.

PURPOSE OF THE ROLE

The BBC is reinventing itself for a new generation-delivering world-class creativity, global reach, and public value. The World Service plays a vital role in this mission, supporting international journalism across over 40 languages and markets. Our team is adding to a scalable data warehouse to unify diverse data sources-from audience analytics to editorial metadata-and enable smarter, data-driven decisions across the organisation.
As a Data Engineer, you'll be part of a multi-disciplinary agile team working alongside analysts and data scientists, in a team with audience researchers. You'll help design and build data pipelines, contribute to infrastructure, and support the delivery of high-quality, resilient data systems that empower global storytelling.

WHY JOIN THE TEAM

Join our team which supports global journalism across more than 40 languages. You'll work with diverse datasets that reflect the complexity of the real world, while growing your skills in a supportive, international environment. Together, we build infrastructure that empowers journalists and informs millions worldwide.

YOUR KEY RESPONSIBILITIES AND IMPACT

• Build and maintain scalable ETL pipelines using Python and SQL.
• Work with Amazon Redshift to design and optimise our data warehouse.
• Translate stakeholder requirements into technical solutions.
• Test and validate data workflows to ensure quality and reliability.
• Collaborate across disciplines to create value with data.
• Contribute to a culture of learning, adaptability, and best practices.

YOUR SKILLS AND EXPERIENCE

• Hands-on experience with Redshift, Python, and SQL.
• Educational background in Computer Science, Data Engineering, or a related field.
• Exposure to data warehouse projects, including schema design and data modelling.
• Familiarity with ETL/ELT workflows and data quality testing.
• Strong team collaboration and a proactive learning mindset.

ESSENTIAL CRITERIA:

• Hands-on Experience with Redshift, Python & SQL
o Candidate has practical experience working with Amazon Redshift for data warehousing tasks.
o Comfortable using Python for scripting and automation, with solid SQL skills for querying and data manipulation.
• Educational Background in a Relevant Field
o Holds a degree (or equivalent training) in Computer Science, Data Engineering, Information Systems, or a related discipline.
o Demonstrates foundational knowledge in data structures, databases, and programming.
• Exposure to Data Warehouse Projects
o Has contributed to the design, implementation, or maintenance of a data warehouse.
o Understands concepts like dimensional modelling, schema design, and data partitioning.
• Experience with ETL Pipelines and Data Quality Testing
o Familiar with building or maintaining ETL/ELT workflows using tools or custom scripts.
o Has tested data pipelines for accuracy, completeness, and performance, and understands the importance of data validation.
• Strong Team Collaboration and Learning Mindset
o Demonstrates eagerness to learn new tools and technologies.
o Communicates well, takes feedback constructively, and thrives in collaborative environments.

DESIRED BUT NOT REQUIRED:

• Media, or broadcast experience.
• Experience with Airflow, or other orchestration tools.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Knowledge of data visualisation tools (e.g., Tableau, Looker).
• Contributions to open-source projects or a personal GitHub portfolio.

If you can bring some of these skills and experience, along with transferable strengths, we'd love to hear from you and encourage you to apply.