The Role
Legend is hiring a Data Engineer, reporting directly to our Head of Data Engineering. In this role, you will have the possibility to build and contribute to 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 Data Engineer - our team owns its entire infrastructure, giving you true end-to-end impact. If you want to be part of a team that builds data platforms with 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
* Contribute to improvements to the data infrastructure required by the teams that consume data.
* Contribute to improvements to the 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
* Contribute to 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
* Good foundational familiarity with Snowflake (or an equivalent modern cloud data warehouse tool) and data modeling skills for analytical/transactional data systems
* Managing cloud infrastructure, networking, and security on AWS using Terraform
* Good foundational knowledge about workflow orchestrators, specifically Airflow or Dagster
* Good knowledge of Python and using Python to build data pipelines.
* Knowledge of CI/CD measures and tools, such as GitHub Actions
* Highly preferred: working knowledge of data transformation tools such as dbt or SQLMesh.
* Preferred: having been involved in the deployment of data governance tools such as data quality or data catalogue solutions
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.
* 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 ontalent@l1.com, and we\'ll do all we can to support you.
#J-18808-Ljbffr