🛠 Tech Stack

💼 About This Role

You'll strengthen the Data Team at Wheely, a premium ride-hailing scale-up, by providing best-in-class data experiences. Your work will directly impact business intelligence and machine learning pipelines, ensuring seamless data access for users and data scientists. This role offers the chance to work with cutting-edge technologies in a fast-growing company.

🎯 What You'll Do

• Enhance data team with architectural best practices and low-level optimizations
• Support evolving data integration pipelines (Debezium, Kafka, dlt)
• Cover business units with feature requests, bugfixes, and data quality issues
• Enforce code quality, automated testing, and code style

📋 Requirements

• 3+ years in Data Infrastructure Engineer / Data Engineer / MLOps Engineer roles
• Experience with Snowflake, Redshift, or BigQuery
• Proficiency in SQL and Python
• Experience with Kafka, Airflow, and containerizing applications (Docker, k8s)

✨ Nice to Have

• Experience with data modeling tools like dbt
• Experience with ML Ops tools (MLflow)
• Technical university graduate

🎁 Benefits & Perks

• 📈 Stock options and competitive salary equity package
• 🏥 Medical insurance including dental and life insurance
• 🚗 Monthly credit for Wheely journeys
• 🍽️ Lunch allowance
• 🔄 Cycle to work scheme