Senior Data Engineer

Legend; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading gaming marketing firm in London is hiring a Senior Data Engineer to design and manage data infrastructure. You will have real ownership over data products, with opportunities to experiment with new tools. Ideal candidates will have expertise in Snowflake, AWS, and Python. The role includes responsibilities such as implementing data pipelines, ensuring data security, and maintaining data quality. A competitive salary, annual bonus, and flexible work arrangements are offered.

Benefits

Annual discretionary bonus

Paid annual leave

Flexible work-life balance

Professional development opportunities

Qualifications

• Familiarity with Snowflake and data modeling skills.
• Experience managing infrastructure and networking on AWS using Terraform.
• Knowledge of workflow orchestrators like Airflow or Dagster.
• Proficiency in Python and building data systems.
• Understanding of API frameworks such as FastAPI.

Responsibilities

• Design and improve data infrastructure.
• Implement processes for data pipelines and data normalization.
• Ensure data security measures are in place.
• Oversee data quality measures and SLAs.
• Liaise with data producers and consumers.

Skills

Snowflake

AWS

Python

Airflow

GitHub Actions

Tools

Terraform

CI/CD tools

Kafka

Job description

About Legend

At Legend, we're building next-level player experiences. With 20+ years of proven success we’re the world's leading Sports and Gaming marketing company.

Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level‑up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you’re ready to shape the future of player experience and enjoy the ride while you do it, this is where you’ll thrive.

The Role

Legend is hiring a Senior Data Engineer, reporting directly to our Head of Data Engineering. In this role, you will have the possibility to build and own data products and platform functionalities that tangibly serve the business with the freedom to build and experiment.

At Legend, you’ll get real ownership as a Senior Data Engineer - our team owns its entire infrastructure, giving you true end‑to‑end control. If you have a vision for how data platforms should be built and want the freedom to experiment with new tools and approaches, you’ll thrive here. We value innovation with purpose, so you can help shape the future of our data products.

In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed.

Your Impact

• Design, manage, and improve the data infrastructure required by the teams that consume data.
• Design, implement, manage, and improve processes and data pipelines that collect data from operational data sources and external data producers, normalise, standardise, and enrich them, and make them available to data consumers in an accessible and discoverable manner
• Design, implement, manage, and improve the data security measures in place to make sure data consumers can access the data they need, but only what they need and not more.
• Make sure the produced data adheres to data quality measures and SLAs that make it appropriate to use by consumers
• Liaise with internal data producers and consumers to satisfy business requirements on a daily basis

What You'll Bring

• In-depth familiarity with Snowflake and data modeling skills for analytical/transactional data systems
• Managing infrastructure, networking, and security on AWS using Terraform
• In-depth knowledge about workflow orchestrators, specifically Airflow or Dagster
• In-depth knowledge of Python and building data systems using Python. An understanding of API frameworks such as FastAPI and libraries such as Pydantic, and design, implementation, and deployment of APIs is preferred.
• Knowledge of CI/CD measures and tools, such as GitHub Actions
• Preferred: knowledge of Kafka, dbt or SQLMesh, deployment of data governance tools such as data quality or data catalogue solutions, deployment of semantic/metric layer solutions such as Cube with self‑serve tools or data visualisation tools integration.

The Interview Process

• 1st: Initial Chat with Talent Partner (45 mins via Zoom)
• 2nd: Technical Interview including a Technical Assessment and Technical Discussion (1.5 hours via Zoom)
• 3rd: Values Interview including with Technical and Non‑Technical team members (1 hour video via Zoom)
• 4th: Final interview including Technical focus with the Hiring Manager and Tech Leadership team (1 hour video via Zoom)

Why Legend

• Super smart colleagues to work alongside and learn from.
• Engaging development opportunities at all levels.
• 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 on [e-mail], and we'll do all we can to support you.