Data Engineer with German - Finance & Controlling

dmTECH is over 1,400 experts from various technological areas who, every day, create, maintain, and develop retailTECH solutions for the dm concern – one of the largest European drugstore chains. We operate in Germany, Austria, and Poland. Every day, the results of our work build the experiences of customers, employees, and business partners in 14 European countries, including our own. We are shaping the retailTECH industry based on the latest solutions, collaborating agilely, and thinking long-term. Become our subcontractor and, as a business partner, support the development of our technological solutions in Poland. Currently, dmTECH is looking for a candidate for the position of Data Engineer with German - Finance & Controlling. Project: Our team is modernizing system and data architectures by building and maintaining a modular data concept in Snowflake, with an implemented semantic layer and active use of Snowflake Cortex AI in production pipelines. Data integration from multiple sources (AWS, GCP, SAP) within our created platform sets the strategic technological direction for data work in the finance and controlling domain for the entire dm concern. Tech Stack: SQL, Python, Snowflake (Cortex AI: Cortex Analyst, Cortex Search, Snowpark), AWS, DBT Service location: hybrid (Wrocław) or 100% remote collaboration Form of cooperation: B2B Contract Remuneration: 100-180 PLN/h + VAT on B2B What will our cooperation involve? Building and developing the data semantic layer on Snowflake (Semantic Layer). Integrating Snowflake Cortex AI with financial data pipelines, creating intelligent assistants for data analysis. Designing, implementing, and supporting scalable ETL and ELT processes for analytical and ML applications, especially in the AWS environment, integrating data from various sources with the Snowflake environment. Designing and developing pipelines using the semantic layer as an abstraction over data for LLM models (DBT). Creating and documenting flexible data models and actively participating in data architecture design, ensuring its long-term stability. Responsibility for the further development and maintenance of the data management platform in Snowflake. Managing and automating the entire code creation and deployment process, using Git and CI/CD. Conducting data quality checks. Managing incidents and resolving problems on the second line of support. Technological consulting within cooperation with Data Science specialists, analysts, and the finance and controlling department. What do we offer you? A partnership model of cooperation based on autonomy in carrying out assigned tasks, as well as a culture of dialogue within our product teams. Flexibility and trust are fundamental to us: you do not have imposed rigid working hours. We operate based on mutual trust. We value results. Smooth start of cooperation. We believe that a good start to cooperation must be prepared. You will receive an onboarding plan for your project tasks in advance. Required experience and qualifications: Minimum 5 years of experience in data engineering or data analytics. Knowledge of languages: Polish (C1), German (C1), and English (minimum B1). Education in computer science or related fields. Practical experience with Snowflake, including Cortex AI (Snowpark, Cortex Analyst, Cortex Search), in real business applications. Experience working with the cloud and data processes – AWS is welcome. Very good knowledge of SQL. Ability to program in Python and knowledge of Git. Experience working with data modeling and data warehouses. Knowledge of ML, MLOps, and/or genAI concepts. High communication skills, independence in action, and proactivity in seeking solutions. Interest in combining technology with the finance and controlling domain. Additional assets will include: Experience working with data from ERP systems (SAP). Knowledge of the Data Mesh concept. Want to learn more about how we work? Basia Moczulska, who leads recruitment, and Adam Piwek from dmTECH will tell you about it.