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For Companies At a Glance
- Tasks: Architect and build scalable data infrastructure for impactful insights and models.
- Company: Join Code and Theory, a leading digital-first creative agency.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape data strategy and culture while working with top-tier clients and innovative projects.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and mentoring experience.
- Other info: Collaborative environment with a mix of tech and creative talent.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking an experienced Lead Data Engineer to architect and build scalable data infrastructure that powers data-driven insights and predictive and generative models. The ideal candidate will be a product-minded technologist, practiced in translating business needs into elegant technical solutions. They will have broad purview to establish best practices, and lay the foundation for a world-class data organization. As a lead engineer, they will get to work cross-functionally with stakeholders across the agency, have significant autonomy in technical decision-making, and play a pivotal role in shaping our data strategy and data engineering team culture.
WHAT YOU'LL NEED
- 5+ years experience in data engineering, with demonstrated experience designing, building, and scaling data pipelines and infrastructure from the ground up
- Strong product orientation, with proven ability to identify opportunities, prioritize initiatives, and deliver data solutions that drive measurable business value
- Deep expertise in cloud data platforms
- Proficiency in Python and SQL both for data processing and ETL, as well as for closely collaborating with the Machine Learning Engineering team
- Track record of mentoring engineers and establishing engineering standards, documentation, and best practices
- Familiarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)
- Great communication, and an ability to communicate with the spectrum of technical levels present at an organization like Code and Theory, which is 50/50 Tech/Creative
NICE TO HAVE
- Experience with data governance, privacy compliance, and security best practices
- Experience integrating AI/ML capabilities into data pipelines; exposure to GenAI applications
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Mediacurrent, Rhythm, and TrueLogic. Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok. The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
Lead Data Engineer (London) employer: Code and Theory
Contact Detail:
Code and Theory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those that highlight your ability to build scalable data pipelines. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to shaping the data strategy at Code and Theory.
✨Tip Number 4
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 shows you’re genuinely interested in joining our team at Code and Theory.
We think you need these skills to ace Lead Data Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience in building scalable data infrastructure and any relevant projects that showcase your product-minded approach.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of how you've translated business needs into technical solutions and how you’ve mentored others in your previous roles.
Showcase Your Technical Skills: Don’t forget to emphasise your proficiency in Python, SQL, and cloud data platforms. We want to see how you’ve used these skills to drive measurable business value in past projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Code and Theory
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your experience with cloud data platforms, Python, and SQL. Be ready to discuss specific projects where you've designed and built scalable data pipelines, as this will show your hands-on expertise.
✨Showcase Your Product Mindset
Prepare to talk about how you've identified opportunities in past roles and prioritised initiatives that delivered measurable business value. Think of examples where your technical solutions directly impacted business outcomes, as this aligns perfectly with what they’re looking for.
✨Communicate Like a Pro
Since you'll be working cross-functionally, practice explaining complex technical concepts in simple terms. Be ready to engage with both technical and non-technical stakeholders, showcasing your ability to bridge the gap between tech and creative teams.
✨Demonstrate Leadership and Mentorship
Highlight your experience in mentoring other engineers and establishing best practices. Prepare examples of how you've contributed to team culture and technical standards, as this will demonstrate your readiness to take on a lead role within their data engineering team.
