Data Engineer
Data Engineer
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Job Description
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:
Were happy to discuss flexible working. If youd like to please indicate your preference in the application though theres 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 generationdelivering 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 sourcesfrom audience analytics to editorial metadataand enable smarter data-driven decisions across the organisation.
As a Data Engineer youll be part of a multi-disciplinary agile team working alongside analysts and data scientists in a team with audience researchers. Youll 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. Youll 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 wed love to hear from you and encourage you to apply.
Employment Type
Full-Time
