Data Engineer

Data Engineer

Full-Time 34000 - 42000 € / year (est.) No home office possible
BBC Group and Public Services

At a Glance

  • Tasks: Design and build secure, scalable data pipelines for BBC Studios' global content.
  • Company: Join the renowned BBC Studios, a leader in media and entertainment.
  • Benefits: Competitive salary, flexible working, and strong support for career growth.
  • Other info: Collaborative team culture with opportunities for continuous learning and improvement.
  • Why this job: Make a real impact on data products used worldwide while growing your skills.
  • Qualifications: Experience with data pipelines, SQL, and good engineering practices required.

The predicted salary is between 34000 - 42000 € per year.

CONTRACT TYPE: Permanent, Full-time

DEPARTMENT: BBC Studios COO Group

LOCATION: London - Television Centre

PROPOSED SALARY RANGE: £34,000 - £42,000 plus £5,441 London Weighting depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

WE ARE BBC STUDIOS

A globally renowned media company borne of the BBC. We make and distribute the world’s most sought-after TV, audio and digital content. Our ambition is to be the home of the most powerful, entertaining, and inspiring stories for people all around the world.

PURPOSE OF THE ROLE

Join BBC Studios as a Data Engineer and play a key role in evolving our data platform. You’ll design, build and support secure, scalable and trusted data pipelines that power critical products and insights across the organisation. This role is ideal for an engineer who enjoys working hands‑on with data, values strong engineering practices, and wants to grow their skills while contributing to data products used at global scale.

WHY JOIN THE TEAM

You’ll join a passionate, empowered team where ideas are welcomed, debated, and turned into action. We focus on doing meaningful work well - using modern tools, strong engineering practices, and shared ownership to continuously improve how data works across BBC Studios. With a people‑first culture, genuine flexibility, and strong support for learning and progression, you’ll have the space to grow your career while making a real impact.

ABOUT THE DATA PLATFORM

Our data platform supports a wide range of audience, content and commercial use cases. It processes large‑scale event and relational data to power analytics, reporting, experimentation and downstream products across BBC Studios, with a strong emphasis on data trust, security and governance.

YOUR KEY RESPONSIBILITIES AND IMPACT

  • Build and maintain high‑quality, automated data pipelines for ingesting, transforming and publishing data.
  • Ensure data pipelines follow agreed standards for reliability, scalability, security and performance.
  • Work with senior engineers and architects to implement core platform patterns, tooling and capabilities.
  • Apply appropriate security, privacy and governance controls to protect audience data and enable its safe, compliant use.
  • Collaborate closely with engineers, product, analytics and data governance partners to deliver valuable data solutions.
  • Support the platform in production, contributing to monitoring, incident resolution and continuous improvement.
  • Continuously learn and stay up to date with data engineering tools, technologies and ways of working.

YOUR SKILLS AND EXPERIENCE

ESSENTIAL CRITERIA

  • Experience building or supporting data pipelines for analytics or data platforms.
  • Strong SQL skills and experience working with data warehouses and transformation tools (e.g. dbt).
  • Understanding of data modelling and good database design practices.
  • Familiarity with pipeline orchestration and automated data workflows.
  • Good engineering practices: writing clean, maintainable code, testing, and working with CI/CD pipelines.
  • Comfortable working in an agile delivery environment (Scrum or Kanban).
  • Familiarity with cloud platforms and infrastructure-as-code concepts (preferably AWS and Terraform).
  • A collaborative mindset and ability to work effectively within a team.

DESIRED BUT NOT REQUIRED

  • Experience with Python or another high‑level programming language.
  • Familiarity with large‑scale data processing technologies.
  • Exposure to Snowflake or similar cloud data warehouses.
  • Experience using AI‑assisted development tools (e.g. Copilot, Claude) to improve productivity.

Data Engineer employer: BBC Group and Public Services

At BBC Studios, we pride ourselves on being a people-first employer that fosters a culture of collaboration and innovation. As a Data Engineer in our London Television Centre, you'll have the opportunity to work with cutting-edge technology while contributing to impactful projects that reach audiences worldwide. With a strong emphasis on employee growth, flexible working arrangements, and a commitment to continuous learning, BBC Studios is an exceptional place to advance your career in the media industry.

BBC Group and Public Services

Contact Detail:

BBC Group and Public Services Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research BBC Studios, understand their data platform, and be ready to discuss how your skills align with their needs. Practise common interview questions and have examples ready to showcase your experience.

Tip Number 3

Show off your projects! If you've built any data pipelines or worked on relevant projects, make sure to highlight them during your conversations. Having tangible examples can really set you apart from other candidates.

Tip Number 4

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

We think you need these skills to ace Data Engineer

Data Pipeline Development
SQL
Data Warehousing
Data Transformation Tools (e.g. dbt)
Data Modelling
Database Design Practices
Pipeline Orchestration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, SQL skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at BBC Studios. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Skills:Don’t just list your skills; demonstrate them! If you’ve worked with cloud platforms or have experience in agile environments, mention specific examples. We’re keen to see how you’ve applied your knowledge in real-world scenarios.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company culture there!

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

Know Your Data Pipelines

Make sure you understand the ins and outs of data pipelines, especially how to build and maintain them. Brush up on your SQL skills and be ready to discuss your experience with data warehouses and transformation tools like dbt.

Showcase Your Engineering Practices

Be prepared to talk about your coding practices. Highlight your ability to write clean, maintainable code and your experience with CI/CD pipelines. They’ll want to see that you value good engineering practices.

Familiarise Yourself with Agile Methodologies

Since this role involves working in an agile environment, it’s crucial to demonstrate your understanding of Scrum or Kanban. Share examples of how you've successfully collaborated within a team using these methodologies.

Stay Updated on Tools and Technologies

The data engineering field is always evolving, so show your enthusiasm for continuous learning. Mention any recent tools or technologies you've explored, especially those related to cloud platforms like AWS or infrastructure-as-code concepts.