Senior Data Engineer - GenAI in Eccles

Senior Data Engineer - GenAI in Eccles

Eccles Full-Time 60000 - 70000 £ / year (est.) No working from home possible
BBC Group and Public Services

At a Glance

  • Tasks: Design and develop data pipelines to support AI projects at the BBC.
  • Company: Join the BBC's innovative Generative AI Programme.
  • Benefits: Competitive salary, flexible working hours, and generous annual leave.
  • Other info: Diverse and inclusive workplace with excellent career development opportunities.
  • Why this job: Make a real impact by leveraging AI to solve business challenges.
  • Qualifications: Experience in data engineering and collaboration with multidisciplinary teams.

The predicted salary is between 60000 - 70000 £ per year.

CONTRACT TYPE: Permanent, Full-time

DEPARTMENT: BBC Group Strategy and Transformation

LOCATION: Salford

PROPOSED SALARY RANGE: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

PURPOSE OF THE ROLE

The Senior Data Engineer will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently. The role is in the BBC’s Generative AI Programme and will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams. The Senior Data Engineer will help build and support reliable data pipelines and components that enable AI projects to move effectively from piloting to successful handover to the business for scaling. The role will work in ways that are responsible, evidence-led and aligned with the BBC’s values.

WHY JOIN THE TEAM

The Generative AI Programme, part of the Strategy & Transformation team, helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC’s public service mission. The team’s activities include enabling adoption of AI tools across the organisation; fostering innovation; finding opportunities to use AI to work more efficiently as an organisation, and leading the BBC's engagement on the wider AI issues that shape our operating environment.

YOUR KEY RESPONSIBILITIES AND IMPACT

  • Help evaluate AI and automation capabilities, both existing and emerging, using data and evidence to inform decisions about the most appropriate solutions for BBC contexts.
  • Design and develop data pipelines, technical components and supporting capabilities that enable the evaluation and adoption of agentic and AI automation tooling.
  • Work with colleagues across the team to design AI, agentic and automation solutions that address clearly defined operational or domain-specific problems.
  • Build secure, resilient and maintainable data engineering solutions that support experimentation as well as more scalable use where appropriate.
  • Collaborate closely with domain experts, data scientists, analysts, researchers, designers and project management teams to translate requirements into valuable solutions.
  • Contribute to good engineering practice across the team, supporting high standards in data quality, governance, documentation and continuous improvement.
  • Ensure work is carried out in line with the BBC’s organisational values, security requirements and responsible approach to AI adoption.

YOUR SKILLS AND EXPERIENCE

  • Experience of designing, delivering and operating data engineering solutions, including pipelines, integrations and piloting capabilities.
  • Experience of working with multidisciplinary teams to understand business or user problems and translate them into valuable solutions.
  • Ability to evaluate new tools or technologies critically, using evidence and sound judgement to assess their effectiveness and suitability.
  • Good understanding of data governance, security and quality considerations, with the ability to apply these appropriately in innovative or experimental settings.
  • Good engineering practices including security by design, proficiency in Python, experience with Cloud platforms (AWS preferred) and Infrastructure as Code (Terraform preferred), CI/CD pipelines, and demonstrable use of AI-assisted development tools to improve code quality and delivery pace.
  • Experience working in broadcast, media, start-up or research environments.
  • A strong academic background or research credentials in data engineering or a related discipline.
  • Familiarity with API development frameworks (FastAPI or equivalent).
  • Experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure).
  • Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large organisations.

BENEFITS

Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values-based organisation where the way we do things is important as what we do.

DIVERSITY AND INCLUSION

We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio‑economic background, religion and/or belief.

DISABILITY CONFIDENT

If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, contact us via email: reasonable.adjustments@bbc.co.uk.

Senior Data Engineer - GenAI in Eccles employer: BBC Group and Public Services

The BBC is an exceptional employer, offering a dynamic work environment in Salford where innovation meets public service. As part of the Generative AI Programme, employees benefit from a flexible working culture, competitive salary packages, and extensive professional development opportunities, all while contributing to meaningful projects that leverage cutting-edge AI technologies. The BBC values diversity and inclusion, ensuring that every employee feels respected and empowered to reach their full potential.

BBC Group and Public Services

Contact Details:

BBC Group and Public Services Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer - GenAI in Eccles

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already at the BBC or in similar roles. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Prepare for interviews by practising common questions related to data engineering and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.

Tip Number 3

Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress interviewers. Make sure to highlight any experience with AI tools and data pipelines.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team and making an impact at the BBC.

We think you need these skills to ace Senior Data Engineer - GenAI in Eccles

Data Engineering
Data Pipelines
Cloud Platforms (AWS preferred)
Infrastructure as Code (Terraform preferred)
CI/CD Pipelines
Python
Data Governance

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering and AI tools. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!

Showcase Your Teamwork:Since collaboration is key in this role, share examples of how you've worked with multidisciplinary teams. We love to see how you’ve translated complex problems into effective solutions alongside others.

Highlight Your Technical Skills:Be sure to mention your proficiency in Python, cloud platforms, and any experience with AI frameworks. We’re looking for candidates who can hit the ground running, so let us know what tools you’re comfortable with!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to hear from you!

How to prepare for a job interview at BBC Group and Public Services

Know Your Data Engineering Stuff

Make sure you brush up on your data engineering skills, especially around building data pipelines and integrations. Be ready to discuss your experience with Python, AWS, and any relevant tools like Terraform or CI/CD pipelines. The more specific examples you can provide, the better!

Understand AI in Context

Since this role is all about Generative AI, it’s crucial to understand how AI tools can solve real business problems. Familiarise yourself with the BBC's approach to AI and think of examples where you've used AI or automation to improve processes. This will show that you can think critically about technology.

Collaborate Like a Pro

This position involves working closely with various teams, so be prepared to talk about your experience in multidisciplinary environments. Share examples of how you've translated complex requirements into actionable solutions, and highlight your teamwork skills. Communication is key!

Show Your Commitment to Quality

The BBC values high standards in data quality and governance. Be ready to discuss how you've ensured data integrity in your past projects. Mention any best practices you follow and how you keep up with security considerations, especially in innovative settings.