Data Engineer

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 sources from audience analytics to editorial metadata and enable smarter data-driven decisions across the organisation.

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 CRITERIAHands-on Experience with Redshift Python & SQL

• Candidate has practical experience working with Amazon Redshift for data warehousing tasks.
• Comfortable using Python for scripting and automation with solid SQL skills for querying and data manipulation.

Educational Background in a Relevant Field

• Holds a degree (or equivalent training) in Computer Science Data Engineering Information Systems or a related discipline.
• Demonstrates foundational knowledge in data structures databases and programming.

Exposure to Data Warehouse Projects

• Has contributed to the design implementation or maintenance of a data warehouse.
• Understands concepts like dimensional modelling schema design and data partitioning.

Experience with ETL Pipelines and Data Quality Testing

• Familiar with building or maintaining ETL / ELT workflows using tools or custom scripts.
• Has tested data pipelines for accuracy completeness and performance and understands the importance of data validation.

Strong Team Collaboration and Learning Mindset

• Demonstrates eagerness to learn new tools and technologies.
• 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.

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Employment Type: Full-Time

Experience: years

Vacancy: 1

Monthly Salary: 40000 - 44000