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Wheely

Data Engineer

Posted 15 Days Ago
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In-Office
London, Greater London, England
Mid level
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In-Office
London, Greater London, England
Mid level
The Data Engineer will enhance data architecture, support data pipelines, and collaborate with business users, ensuring data quality and efficient processes.
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About Wheely

Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience.

As a profitable, fast-growing scale-up with $43M raised, we're expanding rapidly across EMEA and the US. We're adding exceptional talent to drive our next phase of growth.

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 data experience.

Responsibilities
  • Enhance Data team with architectural best practices and low-level optimizations
  • Support on evolving data integration pipelines (Debezium, Kafka, dlt), data modelling (dbt), database engines (Snowflake), ML Ops (Airflow, MLflow), BI reporting (Metabase, Observable, Text-2-SQL), 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 / MLOps Engineer roles;
  • Have work experience or troubleshooting experience in the following areas:
    - Analytical Databases: configuration, troubleshooting (Snowflake, Redshift, BigQuery)
    - Data Pipelines: deployment, configuration, monitoring (Kafka, Airflow or similar)
    - Data Modeling: DRY and structured approach, applying performance tuning techniques
    - Containerizing applications and code: Docker, k8s
  • Fluent with SQL and Python;
  • At least Intermediate level of English;
  • Have experience in researching and integrating open-source technologies (data ingestion, data modelling, BI reporting, LLM applications, etc.);
  • 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

Top Skills

Airflow
Census
Dbt
Debezium
Dlt
Docker
K8S
Kafka
Metabase
Mlflow
Observable
Python
Snowflake
SQL
HQ

Wheely London, England Office

The Old Monastery Barn, London, United Kingdom, TW8 8JF

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