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.);