Data Engineer

Legend Corp
London
4 months ago
Applications closed

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We’re Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.

We exist to build better experiences. From amplified career paths to supercharged online journeys for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we’re helping companies turbocharge their brand growth in over 18 countries worldwide.

If you’re looking for a company with momentum and the opportunity to progress at pace, Legend has it.

Unlock the Legend in you.

The Role

Legend is hiring a Data Engineer, reporting directly to our Head of Data Engineering.

This role is focused on building and maintaining the data pipelines, integrations, and infrastructure that fuel the company’s reporting, analytics, and operational intelligence. You’ll design systems that move data reliably and efficiently, partner with analysts and business leaders to understand data needs, and ensure that our internal data products are accurate, trusted, and well-governed. This is a hands-on, engineering-driven role on a small, high-leverage team.

Your Impact

  • Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows.
  • Integrate data from external APIs and internal systems into Snowflake and downstream tools.
  • Own critical parts of our Airflow-based orchestration layer and Kafka-based event streams.
  • Ensure data quality, reliability, and observability across our pipelines and platforms.
  • Build shared data tools and frameworks to support analytics and reporting use cases.
  • Partner closely with analysts, product managers, and other engineers to support data-driven decisions.

What You'll Bring

  • Strong experience as a Data Engineer or Software Engineer working on data infrastructure.
  • Strong Python skills and hands-on experience with SQL and Snowflake.
  • Experience with modern orchestration tools like Airflow and data streaming platforms like Kafka.
  • Understanding of data modeling, governance, and performance tuning in warehouse environments.
  • Ability to work independently and prioritize across multiple stakeholders and systems.
  • Comfort operating in a cloud-native environment (e.g., AWS, Terraform, Docker).

The Interview Process

  • 1st: Initial Chat with Talent Partner (30 mins via Zoom)
  • 2nd: Technical Interview with our Data Engineering team (1.5 hour video via Zoom)
  • 3rd: Competency-based Interview with non-technical stakeholders (1 hour video via Zoom)
  • 4th: Final Leadership Interview with our CTO and the Hiring Manager (1 hour video via Zoom)

Why Legend

  • Super smart colleagues to work alongside and learn from.
  • Tailored flexibility for your work-life balance.
  • Annual discretionary bonus to reward your efforts.
  • Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance.
  • Long term incentive plan so we can all share in the growth and success of Legend.
  • Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead!
  • Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your Talent Partner.

Legend is an Equal Opportunity Employer, we’re dedicated to hiring diverse talent - which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we'll do all we can to support you.
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