Senior Data Engineer - Digital Publishing
The job has expired.
Contract type: Continuing
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.
The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18th March until further notice all assessments and interviews will be conducted remotely. For more information go to https://www.bbc.co.uk/careers/
Mae’r sefyllfa gyda’r coronafeirws yn datblygu’n gyflym, ac mae’r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau’r risg, dim ond y bobl sy’n hanfodol i’n hallbwn darlledu fydd yn cael mynediad i adeiladau’r BBC. O ddydd Mercher 18fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i https://www.bbc.co.uk/careers/
The BBC has been serving audiences online for more than 20 years. Across key products including BBC iPlayer, BBC News and BBC Sport, BBC Weather, bbc.co.uk and now BBC Sounds, we entertain, educate and inform people in their millions every day.
Behind the scenes, however, we have work to do. We are making the shift from being a broadcaster that speaks to audiences to building products that are shaped around people. We are creating personalised services that bring the right content, to the right people, at the right times – a personalised BBC. It will be our greatest leap since iPlayer, and it is right at the top of our agenda.
Delivering it is going to require a fundamental reshaping of the BBC’s culture and how we work. For the Digital Publishing Team that means a ground-up rethink of the tools, workflows and technologies involved in creating, describing and curating all of our content -- journalism, audio, video and digital alike.
This means asking ourselves some big questions: What does online journalism look like as we leave the print world behind? How do we put tagging at the heart of a personalised BBC? The News and Sport front pages are seen by millions of people and are built by our tools: what are the best ways of curating the stories on them? What does structured content look like at scale, with a workflow that serves thousands of journalists around the world publishing in more than 40 languages?
We’re thinking about technology and culture too. Questions like: How can we best use our audience, content, and production data to make content commissioning and production more impactful and effective? How can we bring data science and machine learning to bear on content classification and publication workflows? And what are the ways of working that let data engineering, working in cross functional teams, design, build and support this at the scale of the BBC?
We’re figuring out the answers to these questions and more like them, and we’re starting right now. Come join us.
- Builds Big Data and batch/realtime analytical solutions leveraging transformational technologies
- Translates stakeholder requirements into technical approaches
- Finds innovative solutions to acquiring or enriching data used to build machine learning algorithms
- Works on one or more projects as a team member designing and developing software applications, testing, and building automation tools
- Works with team members to design and implement data solutions in alignment with a project schedule
- Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics and creates data flow diagrams for all of business systems.
- Expands and grows data platform capabilities to solve new data problems and challenges.
- Implements security and recovery tools and techniques as required and builds automation tools
- Conducts logical and physical database design, designs key and indexing schemes and designs partitioning
- Develops, tests, implements, and maintains database management applications, constructs and implements operational data stores and data marts
- Resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions) and conducts Level 2 support
- Participates in building and testing business continuity & disaster recovery procedures per requirements
- Evaluates and provides feedback on future technologies and new releases/upgrades
- Spreads the value of data and data science across the wider organisation
Are you the right candidate?
- Typically an advanced degree in computer science, computer engineering, other technical discipline, or equivalent work experience.
- Software development or database experience.
- Familiarity with agile or other rapid application development methods and experience with object-oriented design, coding and testing patterns
- Experience with object-oriented coding with variety of languages and experience with relational database internals, including both query processing and query planning, or other data processing infrastructure
- Good knowledge of key data structures and algorithms and a basic knowledge of machine learning
- Knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases.
- Familiarity with monitoring, backup, and disaster recovery of data systems and knowledge in different programming or scripting languages.
- Contributing to the development of area of specialism or industry domain
- Broadcast, production, start-up or media experience
- A mix of public sector and commercial experience
- Participation in published documents within your area of specialism
- Successful academic background in your specialist discipline
About the BBC
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