Data Engineer

Job Introduction

The BBC have an exciting opportunity for a Data Engineer to join the team. This is a permanent role based in London.

Imagine if Netflix, The Huffington Post, ESPN, and Spotify were all rolled into one - you’re starting to get close to what the BBC does online!

The BBC’s world-class online products (iPlayer, News, Sport, Music, Radio, and many others) reach millions of audience members every week, and create around 1 Billion rows of data per day, but our work doesn’t stop there.

We’re also working with other 'offline' parts of the BBC to help them gain an even better understanding of their audiences and aid their decision-making.

In this role you will work closely with Data Scientists to engineer solutions and pipelines to harness our data to address real challenges and drive the business forwards. 

This is a unique opportunity to work in a small team engineering embedded within a Data Science team. It’s a challenging role that will require the right candidate to be involved end to end on projects, working with stakeholders, scientists and data engineers in other teams to build solutions using the latest cloud technologies. This role will provide a lot of scope for learning new techniques and gaining skills in Data Science as well as deploying real, impactful solutions.

Role Responsibility

The Data Science team are responsible for leveraging the vast amounts of BBC data to discover insights, identify opportunities and build data products to drive the business forwards. We do this through the use of statistical, algorithmic and visualisation techniques.

As a Data Engineer, you will work with members of the team on productionising specific projects. This could involve a model built in Spark, a data pipeline to power a visualisation dashboard, or something else entirely – no two days will be the same.

You will be providing expertise of how to build and automate projects out to BBC scale as well as working alongside data scientists to manage the project lifecycle once deployed. This won’t be a throw it over the fence situation though, you will be working alongside and enabling members of the team.

In this role you will: 

  • Support the Data Science team to accelerate data development and move from prototype to production
  • Provide expertise and best practice advice for data processing and engineering within the team
  • Interface with Data Engineers in partner teams on the team's behalf

The Ideal Candidate

The ideal candidate will have:

  • Relevant experience in Data Engineering
  • Experience in writing Python code (essential)
  • Experience in putting applications / pipelines into production at scale
  • Experience in running/managing engineering projects end-to-end – experience with software engineering practices
  • Experience of using big data processing technologies, for example, Hadoop, Spark
  • Experience in code management and deployment (code quality, deployments, CICD, etc.)
  • Detailed understanding of the data storage and pipelining landscape
  • Experience doing data analysis using SQL
  • Experience of conducting analytics with large structured and unstructured data sets
  • Experience of using cloud based technologies, for example, Amazon Web Services (AWS) Google Cloud Platform (GCP)
  • Ability to communicate at all levels and to translate technical jargon
  • Knowledge of the importance of managing personal data securely and the techniques and processes required to ensure authorised usage
  • Ability to apply analytical and structured thinking to resolve programming problems

Desirable skills / experience:

  • Experience of using orchestration tools, such as Airflow
  • Experience working on a data warehouse, data mart, or data lake project
  • Experience of using data visualisation tools
  • Experience of working alongside Data Scientists or in an analytical role
  • Experience of programming in R

Package Description

Band: C
Contract Type: Permanent
Location: London - New Broadcasting House (W1A) or Broadcast Centre (W12)

We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.

  • Excellent career progression – the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
  • Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.
  • Benefits- We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more.

About the Company

We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us. Please make sure you’ve read about our values and behaviours in the document attached below.

Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential.

We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. 

We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise.

To find out more about Diversity and Inclusion at the BBC, please click here


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