Lead Data Engineer
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- Key details
- 1 location, IT, Data Engineer, Hybrid, Lead, Full time
- Current openings
- 20 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 16, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
Lead Data Engineer
Who we are
We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 900 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are almost 1000 people, based out of 14 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world.
What You Will Do
We’re looking for a Lead Data Engineer to join our team of 100+ Data & BI Engineers, building our Audience Intelligence Platform and Helix data products—powering data-driven decision-making across the global sports and entertainment industry.
Helix is our customer data platform (CDP) and master data management (MDM) solution, enabling organizations to unify fan data, create golden records, and drive personalized engagement through segmentation and insights.
This is a hands-on technical individual contributor role where you will design, build, and scale data integration capabilities using Scala, distributed data processing (Spark), and AWS technologies. You’ll own delivery end-to-end while mentoring engineers and shaping how data flows into and across the Helix platform.
You will play a key role in developing reusable, extensible data integration frameworks that enable rapid onboarding of new data sources and ensure reliable, scalable data pipelines.
Key Responsibilities
- Own end-to-end delivery of Helix data engineering and integration projects—from design through to deployment, monitoring, and production support
- Build and operate scalable data ingestion and processing pipelines using AWS services (e.g., S3, EMR/Spark, ECS, Lambda)
- Develop and maintain data workflows that support customer identity resolution, fan segmentation, and golden record creation
- Work with data storage and warehouse technologies such as PostgreSQL, Redshift, and S3-based data lakes
- Design, implement, and optimize ETL/ELT pipelines for large-scale structured and semi-structured data
- Define and enforce engineering best practices across code quality, testing, CI/CD, and deployment processes
- Troubleshoot complex data and system issues, ensuring high reliability, performance, and scalability
- Collaborate closely with Product, Engineering, and Data teams to deliver high-impact data solutions aligned to business needs
- Mentor and guide engineers through code reviews, pairing, and technical leadership, supporting their growth and delivery capability
- Continuously improve the Helix platform with a focus on reusability, observability, scalability, and maintainability