Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines and products to enhance customer experiences.
- Company: Join EE, the UK's largest mobile and broadband operator, known for innovation.
- Benefits: Enjoy competitive pay, generous leave, and exclusive discounts on services.
- Why this job: Make a real impact with data-driven solutions in a dynamic tech environment.
- Qualifications: Experience in data engineering, SQL, Python, and cloud environments required.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
2 weeks ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
About EE
We’re EE. We are the biggest mobile and broadband operator in the UK and we have a relationship in every second household in the country. But we’re for everyone, on any network – serving up new tech, new services, and heaps of inspiration for every aspect of your connected life.
Locations
London, Birmingham or Bristol
3 days in the office, 2 remote
Why this job matters
At EE, our ability to deliver brilliant, personalized experiences for all our 30m customers is fundamental to our future success. As a business we are investing extensively in the automation of our operations and networks, and in building our Base Management capabilities. Data driven automation and decision making has never been more important. Data Science & AI will create a new data capability for Consumer to allow us to create the best personal experiences for all our customers across all channels and drive Commercial Revenue.
What You’ll Be Doing
- Work closely with our internal teams of Solutions Architects, Data Designers, Source System Experts and other stakeholders to understand requirements and translate them into a technical implementation and design and write code to build our Data pipelines and Data Products in GCP.
- Ensure both self and others take responsibility for achieving brilliant customer and business outcomes through high-quality execution, collaboration, and a focus on continuous improvement.
- Design and build data products and data pipelines that are cost effective, performant and resilient.
- Build both batch and NRT data pipelines.
- Ensure all data products delivered and maintained to a high quality, accurate, secure, and always adhere to data protection policies.
- Support Data Product documentation, including clear and comprehensive user guides, and runbooks to aid control and knowledge transfer.
- Operational maintenance of all data products.
The Skills And Experience You\’ll Have Under Your Belt
- Experience with CI/CD setups and infrastructure as code frameworks (ideally Terraform or OpenTofu)
- Experience with open-source big data frameworks (ideally Spark, Apache beam, or Apache Flink)
- Experience with NRT data pipelines is highly desirable
- High proficiency with SQL, Python and one of Scala/Java
- Strong experience of cloud environments (ideally GCP) in the following areas.
- SQL and noSQL databases
- Orchestration tools
- Big data and ETL services
- Serverless compute services
- Experience with K8 and cloud networking is desirable but not required
- Strong data management and data architecture experience
- Strong understanding of data security and compliance processes
- Strong communication skills and ability to articulate complex technical concepts to both technical and non-technical stakeholders at all levels, written and verbal
- Experience working in Agile
Benefits
- Annual on target bonus 10% (based on both personal and company performance)
- BT Pension scheme; minimum 5% employee contribution, BT contribution 10%
- 25 days annual leave + 8 bank holidays with the option to buy up to one week\’s work of your contracted hours. This will also increase with service.
- 2 weeks carer’s leave
- From January 2025, all parents welcoming a new child will be eligible for our new Family Leave policy. You will receive 18 weeks at full pay, eight weeks at half pay and 26 weeks at the statutory rate. It is for all parents, no matter how your family is made.
- Enhanced women’s health support: including help with menopause symptoms, cancer screenings, period care and more.
- Life Assurance (4 x life cover pay)
- Exclusive colleague discounts on our latest and greatest BT broadband packages
- 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans.
- My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers.
- Discounted EE TV including TNT Sport and the NOW Entertainment membership.
- Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
- Volunteering days so you can give back to your local community.
- Brand new electric vehicle salary sacrifice arrangement, known as ‘My EV.’
- 24/7 private virtual GP appointments for UK colleagues
We value diversity and celebrate difference. We embed diversity and inclusion into everything that we do. It’s fundamental to our purpose: we connect for good.
A Few Points To Note
Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.
We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.
DON\’T MEET EVERY SINGLE REQUIREMENT?
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We\’re committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you\’re excited about this role but your past experience doesn\’t align perfectly with every requirement on the Job Description, please apply anyway – you may just be the right candidate for this or other roles in our wider team.
#J-18808-Ljbffr
Data Engineering Professional employer: EE
Contact Detail:
EE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Professional
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at EE. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving data pipelines or cloud environments. Let them see what you can bring to the table.
✨Tailor Your Approach
Before any interview, do your homework on EE and their data initiatives. Tailor your answers to show how your experience aligns with their goals, especially around automation and customer experience.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll have access to exclusive features that can help you stand out.
We think you need these skills to ace Data Engineering Professional
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering role at EE. Highlight your experience with SQL, Python, and cloud environments like GCP. We want to see how your skills match 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 mission at EE. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or using big data frameworks, we want to see your hands-on experience. Include links if possible – we love to see your work!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it makes the whole process smoother for us and you!
How to prepare for a job interview at EE
✨Know Your Data Tools
Familiarise yourself with the specific tools and technologies mentioned in the job description, like GCP, SQL, and Python. Be ready to discuss your experience with CI/CD setups and big data frameworks like Spark or Apache Beam, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you designed data pipelines or improved data products. This will demonstrate your ability to deliver high-quality outcomes and your focus on continuous improvement.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to articulate your ideas to both technical and non-technical stakeholders, so being able to break down complex information is key. Consider doing mock interviews with friends to refine this skill.
✨Understand the Company Culture
Research EE’s values and their commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a positive workplace culture. Showing that you align with their mission to connect for good can set you apart from other candidates.
