Principal Data Engineer
hackajob is collaborating with BBC to connect them with exceptional tech professionals for this role.
Job Title: Principal Data Engineer
Job Band: D
Contract Type: Permanent, Full-time
Department: Product Group
Location: Newcastle, London, Salford or Glasgow - Hybrid
Proposed Salary Range: up to £87,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
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 Principal Data Engineer is a role that will support the Product Data Domain teams. You will help to build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the BBC. You will work in an agile multi-disciplinary team alongside product analytics developers, product data managers, data modelers and data operations managers, ensuring that all work delivers maximum value to the BBC.
Key Responsibilities And Impact
* Lead and architect robust and scalable complex data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. Pipelines must be optimised for performance, reliability, and scalability in line with the BBC’s scale.
* Lead initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with BBC guidelines and industry best practices.
* Prioritise stakeholder requirements and identify the best solution for timely delivery.
* Lead on building automation workflows including monitoring and alerting.
* Encourage and mentor team members in partnership with other disciplines to create value with data across the wider organisation.
* Help set standards for coding, testing and other engineering practices.
* Lead on the building and testing of business continuity & disaster recovery procedures per requirements.
* Proactively evaluate and provide feedback on future technologies and new releases/upgrades based on deep understanding of the domain.
Essential Skills & Experience
Extensive (5+ years) experience in a data engineering or analytics engineering role in AWS, preferably in digital products, building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing)
* Excellent SQL and Python skills with experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow.
* Good working knowledge of cloud-based Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake)
* Demonstrable experience of working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Scientists, and Data Analysts
* Strong stakeholder management skills with the ability to prioritise and a structured approach and ability to bring others on the journey.
Desirable Skills
* Ability to listen to others’ ideas and build on them.
* Ability to clearly communicate to both technical and non-technical audiences.
* Ability to collaborate effectively, working alongside other team members towards the team’s goals, and enabling others to succeed, where possible.
* Strong attention to detail.
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.
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