Data Engineer

Nasze wymagania: Openness to engage in continuous learning and agility in addressing business challenges; Experience in designing, developing, documenting, and maintaining software written in Python and/or Java as well as dataflows written in SQL; Knowledge of different Data Modelling principles and selecting the right one depending on the needs of a consumer; Feeling comfortable working with Linux, git, and Docker to extend and maintain our CI/CD workflows and pipelines or are you eager to dive into this topic; Experience in working in cloud environments (preferably GCP or AWS); Experience or knowledge of Infrastructure-as-Code applications like Terraform and data transformation tools as dbt and Dataform; Cultural awareness, sensitivity, and adaptability in building connections with people from diverse backgrounds; Excel conceptual thinking and a proactive approach to decision-making, taking ownership to ensure project success. Experience with Striim is an advantage. O projekcie: As a Data Foundation team, we are driving data innovations from the core making data work securely, scalable, and smartly. Our mission? To build and maintain the foundation that powers Kramp’s data-driven future. That means enabling modern, secure, and scalable data infrastructure that ingests raw data and transforms it into golden assets across the organization. We’re not just supporting the business - we’re leading transformation. With cutting-edge tools like DBT Cloud, a modern tech stack, and a Data Mesh approach, we’re creating an environment where AI, machine learning, and automation can thrive. This is the team shaping what’s next: from foundational pipelines to building future-ready AI tools. If you’re excited about real impact, modern tech, and being part of something big - we’re just getting started. The team is building the foundation of Kramp's self-service analytics platform in Google Cloud Platform-based data warehouse (DWH). Feeding different targets as: - Data visualization tools (e.g. Tableau); - Data-driven e-commerce applications; - Kramp's Machine Learning platform. Zakres obowiązków: The Data Office is international, and cross-functional team, combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development; Working within Agile SCRUM Methodologies and the Atlassian toolchain (JIRA, Confluence,GitHub, Git); To build our state-of-the-art cloud data warehouse, we use Python, Java, BigQuery SQL, other Google Cloud Platform services such as Cloud Build, Data transfers, Workflows, Schedulers and Functions; Making use of dbt cloud, Terraform and Data Modelling Tools; You will get deep insights into the work at an international wholesaler being in the middle of the digital transformation, you can contribute and make a real impact; Freedom to initiate new ideas and develop these further. Oferujemy: We are an ambitious, fast-growing and financially sound organization. You can obviously expect: A dynamic role in an international environment Comprehensive training and a structured onboarding process A clearly defined development path Access to modern tools and systems Stable employment under a full time employment contract Annual bonus dependent on KRAMP results Attractive social package (private medical care, subsidy for Multisport card, social fund) Generous hybrid model