Job Description
This job is with BBC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Job Package
Job Title: Senior Data Engineer
Job Reference:
Band: BAND D
Salary: £59-69k depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Contract type: Permanent role
Location: This is a hybrid role, and the successful candidate will balance office working with home working
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 negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our candidate pack.
If you need to discuss adjustments or access requirements for the interview process please contact the reasonable.adjustments@bbc.co.uk. For any general queries, please contact: bbchr@bbc.co.uk.
Job Introduction
Fancy working on one of the largest media datasets in the world?
The BBC's world-class online products (iPlayer, News, Sport, Sounds, and more) reach millions of audience members every week and create upwards of 1 Billion rows of data per day.
Working in a talented team of data engineers you will learn new skills and build key pipelines that keep the business moving. You'll also get involved in bringing data science solutions to life and help to build out our in-house data science platform.
This is a varied and challenging role, where you will be working with decision makers, data scientists, analysts and engineers to scope and build solutions using the latest cloud technologies. You will have an opportunity to manage your own projects and help set the direction.
Main Responsibilities
What you'll be doing:
· Building data pipelines using Apache Airflow, DBT, Redshift, Spark and more
· Develop and maintain our in-house data science platform using the latest tech
· Supporting in the implementation and migration of workflows to the customer data platform
· Promoting engineering best practices in the data science and analytics teams
· Contributing to the development of new processes and technologies when needed
· Coding, testing, and documenting new or modified data systems to create robust and scalable applications for data analytics and creating data flow diagrams for all of business systems.
Are you the right candidate?
You'll have experience of the following:
· Building and maintaining data pipelines on Apache Airflow or similar
· Python & SQL skills with a couple of years hands on experience
· Scripting experience using bash, Makefiles or Linux command line
· Working with customer data platforms
· Code management and deployment (code quality, version control, deployments, CICD, etc.)
· Developing and deploying in the cloud (AWS, GCP or Azure)
· Working with a data lake, data warehouse or similar
· Handling data at scale
· Experience with monitoring, backup, and disaster recovery of data systems
· Working knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases
· Managing your own workloads and working across multiple tasks
· Communicating with decision makers, project managers and end users
Desirable skills:
· Big data processing technologies, e.g. Hadoop, Spark
· Deploying / maintaining infrastructure in the cloud (using infrastructure as code e.g. Cloudformation, Terraform)
· Working with (or knowledge of) Kubernetes
· Experience of working alongside Data Scientists or in an analytical role
About the BBC
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.
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 here.
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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