We are looking for a Data Engineer to join the Data Platform team of EU-based Client – a logistics company specializing in on-demand urban delivery solutions. The platform connects businesses of all sizes with a network of independent couriers to provide fast, flexible last-mile delivery, ranging from instant deliveries to scheduled services. 

Operating across multiple countries in Europe, they support industries such as retail, grocery, e-commerce, and restaurants. The company’s mission is to make urban logistics faster, more efficient, and more sustainable by leveraging a multi-modal courier fleet, including bikes and electric vehicles. 

This role is ideal for a hands-on engineer who enjoys building robust data systems and enabling teams to work effectively with data at scale. 

Experience / Skills required: 

Must have: 

4+ years of experience as a Data Engineer  Strong programming skills in Python  Solid experience writing and optimizing SQL queries  Hands-on experience with dbt Core for data transformation  Experience orchestrating workflows using Apache Airflow  Familiarity with AWS data ecosystem, including: S3, Redshift, Glue  Experience building or maintaining data pipelines and ETL/ELT processes  Excellent English communication and presentation skills 

Nice to have: 

Experience working with Kafka or Kafka Connect for streaming data pipelines  Familiarity with Kubernetes environments  Experience implementing CI/CD workflows with GitHub Actions  Exposure to Apache Spark for large-scale data processing  Experience working in data-driven product companies or logistics platforms 

Responsibilities: 

Design, build, and maintain scalable data pipelines to ingest and transform data from multiple sources Improve data quality, reliability, and governance across the data platform Develop and maintain data transformation workflows using modern tooling such as dbt and Airflow Optimize data warehouse performance and ensure efficient access to analytics datasets Collaborate with data analysts, engineers, and product teams to deliver high-quality datasets that support business decisions Contribute to data platform tooling and infrastructure, enabling better data exploration and visualization across the company Support best practices in data engineering, version control, and CI/CD for data workflows

We offer:  

Competitive salary with the regular review  Vacation (up to 20 working days)  Sick leaves (10 working days)  National Holidays as a time off (11 days)  Online English courses  Accountant assistance and legal support  Flexible working schedule, remote, office-based or hybrid format Direct cooperation with the customer  Dynamic environment with low level of bureaucracy and great team spirit  Challenging projects in diverse business domains and a variety of tech stacks  Communication with Top/Senior level specialists to strengthen your hard skills  Online teambuildings  Volunteering culture development and support