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- Tasks: Lead the development of a cutting-edge Customer Data Platform and architect scalable data pipelines.
- Company: Traffic Label, a leading performance marketing and technology company in iGaming.
- Benefits: Competitive salary, performance bonuses, and flexible remote or hybrid work options.
- Why this job: Join us to build a core data platform that drives smarter decisions in the iGaming industry.
- Qualifications: 5+ years in data engineering with leadership experience; expertise in Snowflake, SQL, and Python.
- Other info: Be part of a supportive, innovative, and data-driven culture with great career growth.
The predicted salary is between 48000 - 72000 £ per year.
Location: Remote / Hybrid (Europe)
Department: Data & Technology
Reports To: CTO
Company: Traffic Label
About Traffic Label
Traffic Label is a performance marketing and technology company with nearly two decades of experience driving engagement and conversion across the iGaming and digital entertainment sectors. We’re now building a Customer Data Platform (CDP) on Snowflake and AWS — unifying player data across multiple brands to power automation, insights, and personalization.
The Role
We’re looking for a Data Engineering Lead to own the technical delivery and development of this platform. You’ll architect scalable pipelines, lead a small team, and ensure data reliability, accuracy, and performance.
Team size: 3–4 engineers/analysts
Key Responsibilities
- Design and implement scalable data pipelines processing millions of events daily
- Own Snowflake data warehouse architecture, optimization, and cost control
- Lead the engineering team through delivery and performance improvements
- Ensure >95% data accuracy and 99.9% pipeline uptime
- Collaborate with marketing, analytics, and compliance teams to align data with business goals
Requirements
- 5+ years in data engineering, 2+ in leadership roles
- Expert in Snowflake, SQL, and Python
- Proficient with AWS (S3, Lambda, IAM) and orchestration tools (Airflow, dbt, etc.)
- Strong understanding of data governance, cost optimization, and performance tuning
- Experience with iGaming data, Kafka/Kinesis, or MLflow is a plus
Why Join Us
- Build a core data platform from the ground up
- Competitive salary and performance bonuses
- Flexible remote or hybrid work across Europe
- Supportive, innovative, data-driven culture
Ready to lead a data platform that powers smarter decisions across global iGaming brands? Apply now to join Traffic Label’s Data & Technology team.
Data Engineering Lead in London employer: Traffic Label
Contact Detail:
Traffic Label Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges. Confidence is key, so get comfortable talking about your experience!
✨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, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Data Engineering Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with Snowflake, SQL, and Python, and don’t forget to mention any leadership roles you've had. We want to see how your skills align with 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 building a Customer Data Platform and how your past experiences make you the perfect fit for our team. Let us know what excites you about working with Traffic Label.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. Whether it’s designing scalable data pipelines or optimising data warehouses, we want to see concrete examples of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Traffic Label
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, SQL, and Python. Brush up on your AWS knowledge too, especially S3 and Lambda. Being able to discuss your experience with these technologies confidently will show that you’re the right fit for leading the engineering team.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past. Think about challenges you faced and how you overcame them. Traffic Label is looking for someone who can guide a small team, so demonstrating your leadership style and success stories will be key.
✨Understand the Business Goals
Familiarise yourself with how data engineering aligns with marketing and compliance objectives. Be ready to discuss how you can ensure data accuracy and pipeline uptime while supporting business goals. This shows you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the Customer Data Platform and its impact on the company. Inquire about the team dynamics and how they measure success. This not only shows your interest but also helps you gauge if the role aligns with your career aspirations.
