Data Engineer

Igbaffiliate; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading data-driven company in the United Kingdom is seeking a Data Engineer to enhance data infrastructure and processes. The role requires expertise in cloud data warehouse tools and Python for building data pipelines. The successful candidate will work closely with data consumers and producers to ensure data quality and compliance with SLAs, while also contributing to data security measures and normalizing operational data.

Benefits

Annual discretionary bonus

Paid annual leave during festive season

Long term incentive plan

Flexible work-life balance

Extensive array of benefits and perks

Qualifications

• Good foundational familiarity with cloud data warehouse tools.
• Experience in managing cloud infrastructure and networking.
• Proficient in Python for building data pipelines.

Responsibilities

• Contribute to data infrastructure improvements.
• Normalize, standardize, and enrich operational data.
• Ensure data quality and adherence to SLAs.

Skills

Snowflake or equivalent cloud data warehouse

AWS Management using Terraform

Workflow orchestrators (Airflow, Dagster)

Python for data pipelines

CI/CD tools (GitHub Actions)

Data transformation tools (dbt, SQLMesh)

Data governance tools

Job description

Data Engineer - 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

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.

Additional Information

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 [e-mail], and we'll do all we can to support you.