We are looking for a Middle Data Engineer for a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, the company connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.
Project — is focused on creating a modern standard for urban deliveries that addresses environmental and social challenges while providing a premium delivery experience through speed, flexibility, and convenience.
The team is developing a strong data-driven decision-making culture by improving the availability, reliability, and accessibility of data across teams and countries. The objective is to reduce time-to-insight and enable better business decisions through scalable analytics solutions.
As an Analytics Engineer, the role involves working closely with key products and business initiatives from a data perspective. Responsibilities include building high-quality data pipelines and analytical models, applying software engineering best practices to analytics workflows using dbt, and maintaining well-tested and documented data models within the data warehouse.
Must have: * 3+ years of experience in SQL and data warehousing. * 3+ years of hands-on experience with dbt Core and Airflow in production environments. * 2+ years of experience working with reporting and data visualization tools such as Tableau, Looker, or equivalent. * Ability to foster a self-serve data culture and empower cross-functional teams with data. * Experience with Python and key data libraries such as pandas, numpy, matplotlib. * Experience with AWS S3, Redshift, Airbyte, dbt, Airflow, Castor, and Superset. * Strong communication skills in English, with the ability to translate complex data topics to both technical and non-technical stakeholders.
Responsibilities: * Build data pipelines and model data in the data warehouse to allow anyone across the business to interact with data at the level of detail they need. * Lead data projects from start to end, from requirement gathering to fostering adoption of newly created data assets. * Understand business developments and translate them into technical and data needs. * Propose improvements to data models and work together with the Data Platform team to improve the data toolkit. * Work together with analysts to build scalable reporting. * Foster data discovery and strengthen data knowledge across the company by writing comprehensive documentation and metrics definitions.
We offer: * Vacation up to 20 working days. * Paid sick leaves up to 10 working days. * National holidays as time off up to 11 days. * Medical reimbursement or insurance after 3 months. * Online English courses. * Flexible working schedule and remote work. * Direct cooperation with the customer. * Communication with Top/Senior level specialists to strengthen your hard skills. * Online and offline teambuildings. * Volunteering culture development and support.
