Data Engineering Lead

Data Engineering Lead

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of a cutting-edge Customer Data Platform on Snowflake and AWS.
  • 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: Shape a core data platform that drives smarter decisions in the global iGaming industry.
  • Qualifications: 5+ years in data engineering with leadership experience; expertise in Snowflake, SQL, and Python.
  • Other info: Join a supportive, innovative culture focused on data-driven success.

The predicted salary is between 48000 - 72000 £ 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 employer: Igbaffiliate

Traffic Label is an exceptional employer, offering a dynamic and innovative work environment where you can lead the development of a cutting-edge Customer Data Platform. With a competitive salary, performance bonuses, and the flexibility of remote or hybrid work across Europe, we prioritise employee well-being and growth. Join us to be part of a supportive culture that values data-driven decision-making and empowers you to make a significant impact in the iGaming sector.
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Contact Detail:

Igbaffiliate Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Lead

✨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 data engineering prowess, don’t hesitate to share them. It’s a great way to demonstrate your expertise in Snowflake, SQL, and Python.

✨Tip Number 3

Prepare for the interview by brushing up on your knowledge of AWS and orchestration tools. Be ready to discuss how you’d tackle real-world challenges in building scalable data pipelines and ensuring data accuracy.

✨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 innovative team.

We think you need these skills to ace Data Engineering Lead

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

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 data engineering and how you can contribute to our Customer Data Platform. Be sure to mention your experience with AWS and any relevant projects you've worked on.

Showcase Your Achievements: When detailing your past roles, focus on your achievements rather than just responsibilities. Did you improve data accuracy or pipeline uptime? Share those metrics! We love seeing how you’ve made an impact in previous positions.

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, we love seeing candidates who take that extra step!

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 the Data Engineering Lead role.

✨Showcase Your Leadership Skills

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

✨Understand the Business Context

Familiarise yourself with the iGaming sector and Traffic Label’s business model. Be ready to discuss how data engineering can align with marketing and compliance goals. This shows that you’re not just a techie but also understand the bigger picture.

✨Prepare Questions That Matter

Think of insightful questions to ask during the interview. Inquire about the challenges they face with their current data pipelines or how they measure success in their data initiatives. This demonstrates your genuine interest in the role and the company.

Data Engineering Lead
Igbaffiliate
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