Data Engineer

London, England, United Kingdom

Wheely

Exquisite chauffeured experiences, available in advance and on demand, for you or for others. Reserve a perfect commute or airport transfer in just seconds.

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At Wheely, we are building the future of high-end transportation. We’re pioneering a new standard of excellence and crafting unparalleled brand, product and service experiences for discerning individuals who prioritize time and perfection above all else. Join us as we scale Wheely from London, Dubai and Paris to dozens of markets around the world in the coming years. With over 3000 chauffeur partners and hundreds of thousands of customers, we are fortunate to be the leading brand in all the markets we operate in.

We are looking for a Data Engineer to strengthen our Data Team at Wheely, proactively seeking and providing Business Users and Data Scientists with best-in-class and seamless experience.

Responsibilities

  • Enhance Data team with architectural best practices and low-level optimizations
  • Help refactor and improve codebase (dbt for data transformations, LookML for semantic layer)
  • Support on evolving Data Integration pipelines (Airbyte, Debezium, Kafka), Database engines (Snowflake), BI tools (Looker, Metabase), reverse ETL syncs (Census)
  • Cover up business units with feature requests / bugfixes / data quality issues
  • Enforce code quality, automated testing and code style

Requirements

  • 3+ years of experience in Data Infrastructure Engineer / Data Engineer / Analytics Engineer roles;
  • Have work experience or troubleshooting experience in the following areas:
    - Data Pipelines: deployment, configuration, monitoring (Airbyte, Debezium, Airflow)
    - Analytical Databases: configuration, troubleshooting (Snowflake, Redshift, BigQuery, Clickhouse or similar)
    - Data Modeling: DRY and structured approach, applying performance tuning techniques
    - Containerizing applications and code: Docker, devcontainers
  • Fluent with SQL and Python;
  • At least Intermediate level of English;
  • Have experience in researching and implementing technologies;
  • Ability to identify performance bottlenecks;
  • Team work: GitOps, Continuous Integration, Code reviews;
  • Technical university graduate.

What we Offer

Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.

  • Office-based role located in West London
  • Competitive salary & equity package
  • Medical insurance, including dental
  • Life and critical illness insurance
  • Monthly credit for Wheely journeys
  • Lunch allowance
  • Professional development subsidies
  • Cycle to work scheme 
  • Top-notch equipment
  • Relocation allowance (dependent on role level)
  • Wheely has an in-person culture but allows flexible working hours and work from home when needed.

Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow BigQuery Data pipelines Data quality dbt Docker ETL Kafka Looker LookML Metabase Pipelines Privacy Python Redshift Snowflake SQL Testing

Perks/benefits: Competitive pay Equity / stock options Flex hours Gear Relocation support

Region: Europe
Country: United Kingdom

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