Role overview

Data Engineer

Requirements and responsibilities

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You will:

  • Take ownership of end-to-end data engineering projects.
  • Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
  • Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase
  • Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
  • Design and develop complex data models aligned with industry best practices.
  • Participate in code reviews, providing constructive feedback to maintain high standards.
  • Assist with the design and implementation of our data architecture.
  • Stay up-to-date with industry trends and emerging technologies.

Essential Experience:

  • 3+ years of experience in a similar role, with a track record of autonomous work and impact.
  • Strong expertise in Python and SQL (Snowflake preferred).
  • Have experience using monitoring and alerting tools.
  • Deep understanding of engineering best practices (e.g. unit testing, writing DRY code).
  • Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect).
  • Knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.)
  • Proficiency with dbt.
  • Comfortable working with Git and version control workflows.

Desirable Experience:

  • Experience with Snowflake.
  • Experience with AWS’s data ecosystem.
  • Experience implementing low-latency analytics at scale.
  • Experience with infrastructure-as-code (Terraform preferred).
  • Experience delivering full end-to-end data products, including data visualisation and BI.

Benefits💰 Winnings

  • Private health insurance with zero excess, including optical cover and optional dental.
  • Income protection to protect your earnings and give you peace of mind.
  • Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
  • Flexible working and a fully supported home office setup so you can do your best work from home.
  • Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
  • Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
  • Retail discounts and subscription perks across a wide range of brands.
  • Quarterly team socials to connect, celebrate and have fun together.
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Docker, PythonPrimary skills
Location1 accepted countryEligibility

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