Data Engineering Associate

Adaptfy is growing! We are looking for a Data Engineering Associate with 3 - 6 years of experience for a full-time position to join our Data and Analytics team in Amsterdam. Who we are . Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data & Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire value chains.  Adaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity.  SHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition & aquaculture, testing, inspection & certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation.  At Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies What we offer  Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change. Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization. Become part of a fast-growing international and diverse team. What you will do Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, e-commerce, Business Intelligence, and self-service analytics. Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations. Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models. Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued. Share data engineering knowledge by giving technical training. Guide and mentor team members. What you will bring 3-4 years of experience in data analytics. Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF). Advanced SQL, data transformation and data profiling skills. Experience of building production ETL/ELT pipelines at scale. 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH),…