Data Engineer

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.

• 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