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Data Engineer

Wheely

London

On-site

GBP 50,000 - 90,000

Full time

18 days ago

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Job summary

An innovative company is seeking a skilled Data Engineer to enhance its Data Team. This role involves improving data pipelines, ensuring data quality, and optimizing codebases. The ideal candidate will have a strong background in SQL and Python, coupled with experience in data infrastructure and analytics. The company values flexibility and offers a competitive salary along with a range of perks, including medical insurance, professional development subsidies, and a cycle-to-work scheme. Join a forward-thinking team dedicated to user privacy and exceptional service delivery.

Benefits

Flexible working hours
Stock options
Medical insurance
Life and critical illness insurance
Monthly credit for Wheely journeys
Lunch allowance
Professional development subsidies
Cycle to work scheme
Top-notch equipment
Relocation allowance

Qualifications

  • 3+ years in Data Infrastructure roles with strong SQL and Python skills.
  • Experience with data pipelines and analytical databases like Snowflake.

Responsibilities

  • Enhance Data team with architectural best practices and optimizations.
  • Support evolving Data Integration pipelines and enforce code quality.

Skills

Data Pipelines
SQL
Python
Data Modeling
Performance Tuning
Teamwork

Education

Technical university graduate

Tools

Airbyte
Debezium
Kafka
Snowflake
Looker
Metabase
Docker

Job description

Wheely is not a traditional ride-hailing company. We are building a platform with user privacy at its core while successfully scaling a five-star service to millions of rides across multiple cities.

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.

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

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