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
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