We are looking for a Data Engineer colleague, who would like to be part of our family-like international team.

Main responsibilities:

• Ensure the stability and operational continuity of existing data integrations and pipelines by providing daily support, troubleshooting, and maintenance.
• Collaborate with Data Analysts and cross-functional teams to translate data needs into user-friendly data products, with the opportunity to design and implement advanced data solutions from the ground up.
• Participate in every aspect of design, development and implementation.
• Design, build and launch new data extraction, transformation and loading processes.
• Design and develop interfaces between the source and BI systems.
• Create and maintain technical documentation, contribute to manuals and documentation for the users.
• Cross-functional collaboration across several departments.
• Stay up-to-date with industry trends and best practices in data engineering and business intelligence.

Supplementary responsibilities:

• To assure correctness and completeness, clean, convert, and validate raw data from multiple sources.
• Work together with IT teams to guarantee data security, quality, and compliance with pertinent laws.

• A bachelor's degree in a relevant field, such as computer science, math, statistics, economics or a related subject.
• Good communication in English (both verbal and written).
• 3-5 years minimum experience working in data engineer, BI developer or similar position, preferably in a multinational environment.
• Strong SQL skills (SELECT with all join types, subqueries, aggregations; UPDATE, INSERT, DELETE and stored procedures). MS SQL Server background is strongly preferred.
• Hands-on experience with Microsoft Azure and Data Lakehouse concept.
• Strong technical background in data modelling, database design and optimization of queries.
• Hands-on experience with Power BI or similar tools.
• A strong interest in emerging technologies, combined with openness to continuous learning, professional growth, and actively sharing knowledge with others.
• Experience with participation in Analytics projects; preferably in projects with cross-country and wide functional scope.

Nice to have:

• Previous experience in the FMCG industry.
• Experience with programming languages like Python, R or C# is a strong plus.
• Experience with OLAP cubes.
• Good knowledge of software development methodologies, proficiency in source code and version control systems, and practical experience with CI/CD pipelines, data workflows, and orchestration tools in enterprise environments (e.g., Azure DevOps).
• Advanced MS Excel experience (VBA, Power Query).
• QlikView/QlikSense is a plus.