The Role
Design, build, and own data infrastructure and pipelines to collect, normalize, enrich, and expose data. Ensure data security, governance, and quality SLAs. Collaborate with data producers and consumers to meet business requirements and enable discoverable, reliable data products.
Summary Generated by Built In
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.
- 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 [email protected], and we'll do all we can to support you.
Skills Required
- In-depth familiarity with Snowflake and data modeling for analytical/transactional systems.
- Managing infrastructure, networking, and security on AWS using Terraform.
- In-depth knowledge of workflow orchestrators, specifically Airflow or Dagster.
- In-depth knowledge of Python and building data systems using Python.
- Understanding of API frameworks such as FastAPI and libraries such as Pydantic, and API design/implementation/deployment.
- Knowledge of CI/CD measures and tools such as GitHub Actions.
- Knowledge of Kafka, dbt or SQLMesh, data governance tools (data quality/catalogue), and semantic/metric layer solutions such as Cube.
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The Company
What We Do
Legend is an innovative online media and technology company dedicated to creating a next-level player experience. The company builds world-class brands in Sports & Gaming and specializes in diverse areas such as Sports Betting, Personal Finance, and Gaming, catering to a vast global audience of over 105 million users through its digital platforms and services.
