At a Glance
- Tasks: Architect and build scalable data infrastructure for impactful insights and models.
- Company: Join Code and Theory, a digital-first creative agency blending creativity and technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with a global network of creative and tech talent.
- Why this job: Shape data strategy and culture while working with top-tier clients and innovative projects.
- Qualifications: 5+ years in data engineering, strong product orientation, and expertise in cloud platforms.
The predicted salary is between 63000 - 77000 £ 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 Tik Tok. 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 in London employer: Code and Theory
At Code and Theory, we foster a dynamic work culture that thrives on creativity and collaboration, making it an exceptional place for a Lead Data Engineer to grow. With a strong emphasis on employee development, you will have the opportunity to shape our data strategy while working alongside a diverse team of talented professionals. Our global presence and commitment to innovative solutions ensure that you will be part of meaningful projects that drive real business value.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Code and Theory!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Code and Theory.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Code and Theory.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Code and Theory, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Code and Theory, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Code and Theory. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Code and Theory
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Code and Theory!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
