Match score not available

Data Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years of experience in similar roles, Fluent in SQL and Python, Experience with data pipelines and databases, Technical university graduate.

Key responsabilities:

  • Enhance Data team with best practices
  • Support on evolving Data Integration pipelines
Wheely logo
Wheely SME https://wheely.com/
201 - 500 Employees
See all jobs

Job description

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.

  • Competitive salary
  • Employee stock options plan
  • Relocation allowance
  • Lunch allowance
  • Medical insurance, including dental
  • Best-in-class equipment
  • Professional development subsidies
  • 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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork

Data Engineer Related jobs