TL;DR

Data Engineer (AI): Enhancing the data team with architectural best practices and optimizing data integration pipelines with an accent on data modelling, MLOps, and database performance. Focus on evolving data integration pipelines, supporting BI reporting, and ensuring data quality for business users and Data Scientists.

Location: On-site role in Nicosia, Cyprus with relocation support.

Salary: 4 500 €/month net

Company

Wheely is a profitable, fast-growing scale-up high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East, combining technology with five-star chauffeuring.

What you will do

Enhance the data team with architectural best practices and low-level optimizations.
Support on evolving data integration pipelines (Debezium, Kafka, dlt) and data modelling (dbt).
Maintain and optimize database engines (Snowflake) and ML Ops (Airflow, MLflow).
Cover business units with feature requests, bug fixes, and 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.
Work experience or troubleshooting experience in analytical databases (Snowflake, Redshift, BigQuery) and data pipelines (Kafka, Airflow).
Fluent with SQL and Python.
Proficiency in data modeling, containerizing applications (Docker, K8s).
At least Intermediate level of English (B1).
Technical university graduate.

Culture & Benefits

Competitive salary and employee stock options plan.
Relocation allowance and lunch allowance.
Medical insurance, including dental.
Best-in-class equipment and professional development subsidies.
Flexible working hours and work from home when needed within an in-person culture.