Data Engineering Lead in London

Data Engineering Lead in London

London Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of a cutting-edge Customer Data Platform and architect scalable data pipelines.
  • Company: Traffic Label, a leader in performance marketing and technology for 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.

The predicted salary is between 60000 - 84000 £ per year.

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.

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.

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: Igbaffiliate

Traffic Label is an exceptional employer that fosters a supportive and innovative culture, perfect for those looking to make a significant impact in the data engineering field. With competitive salaries, performance bonuses, and the flexibility of remote or hybrid work across Europe, employees are empowered to thrive while building a cutting-edge Customer Data Platform. Join us to lead a talented team and drive meaningful change in the iGaming and digital entertainment sectors.
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Contact Detail:

Igbaffiliate 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, especially those already working at Traffic Label. A friendly chat can open doors and give you insider info that could make your application stand out.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or any projects that highlight your expertise in Snowflake, SQL, or Python, make sure to share them during interviews. Real-world examples can really impress.

✨Tip Number 3

Prepare for technical interviews by brushing up on data pipeline architecture and optimisation strategies. Be ready to discuss how you’d ensure data accuracy and pipeline uptime, as these are key for the role.

✨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 the Traffic Label team.

We think you need these skills to ace Data Engineering Lead in London

Data Engineering
Snowflake
SQL
Python
AWS
S3
Lambda
IAM
Airflow
dbt
Data Governance
Cost Optimization
Performance Tuning
Team Leadership
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Snowflake and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our Customer Data Platform. Keep it engaging and personal – we love a good story!

Showcase Leadership Experience: Since this role involves leading a team, make sure to highlight any leadership roles you've had. Share examples of how you’ve guided teams through challenges and delivered successful projects – we want to know how you lead!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. Let’s get started!

How to prepare for a job interview at Igbaffiliate

✨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 their data engineering efforts.

✨Showcase Your Leadership Skills

Since this role involves leading a small team, be prepared to share examples of how you've successfully managed projects and guided teams in the past. Highlight your approach to mentoring and how you’ve driven performance improvements in previous roles.

✨Understand Their Business Goals

Familiarise yourself with Traffic Label’s focus on iGaming and digital entertainment. Think about how data can drive engagement and conversion in these sectors. This will help you align your answers with their business objectives during the interview.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills, especially around data accuracy and pipeline uptime. Prepare scenarios where you’ve tackled similar challenges, detailing your thought process and the outcomes. This will demonstrate your practical experience and strategic thinking.

Data Engineering Lead in London
Igbaffiliate
Location: London
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  • Data Engineering Lead in London

    London
    Full-Time
    60000 - 84000 £ / year (est.)
  • I

    Igbaffiliate

    50-100
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