Associate in Data Engineering

At Adaptfy, we are seeking a Data Engineering Associate to join our Team in Amsterdam. Adaptfy is a strategic partnership between SHV Holdings and Metyis aimed at establishing global Data and Analytics capabilities for SHV. Requirements Who we are We are Metyis, a progressive, global company that collaborates with business partners and clients to develop and implement the capacities and capabilities necessary to enhance future performance. We operate across a vast range of industries and, through our immersive partnership model, commit to driving sustainable growth for industry-leading organizations, elevating their potential with a long-term vision. At Metyis, we cultivate integrated solutions that enable growth by functioning within our business partners’ organizations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to construct strategies and execute them through an ecosystem that merges Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services. Our teams are structured in a way that gives you ample space to create greater and grander ideas by expressing your thoughts and being innovative with your knowledge. Consider the things you could accomplish with a multidisciplinary team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. ADAPTFY is a strategic partnership between SHV Holdings and Metyis aimed at establishing global Data & Analytics (D&A) capabilities for SHV. We utilize data, advanced analytics & technology to create value by optimizing business practices and processes throughout the value chain. Our culture is highly collegiate and meritocratic: your ambition determines your success! What we offer Interact with senior stakeholders on a regular basis, to drive their business towards impactful change. Become the go-to person for end-to-end data handling, management and analytics processes. Work 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 Design, build and maintain big data architecture and data pipeline. Define and implement software solutions for scalability and maintainability. Solve problems, disaggregate issues, develop hypotheses and develop actionable solutions to support data engineering and data scientists teams. Stay up to date with the latest industry knowledge and news to maintain and improve enterprise and business platforms. Develop and implement CI/CD pipeline automation solutions. Support and improve agile culture in your team. Collaborate and work closely with teams to better understand the end-user requirements. What you’ll bring 3 - 5 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), Azure Functions, App logic, and other data analytics services, including streaming; Experience with Airflow, Kubernetes, Great Expectations is a plus Programming languages: Python (pyspark), scripting languages like bash Knowledge of git, CI/CD operations and Docker Basic knowledge of PowerBI is a plus Customer-centric, passionate about delivering great digital products and services Demonstrating a true engineering craftsmanship mindset Passionate about continuous improvement and working collaboratively Strong problem-solving skills coupled with the ability to convey designs and ideas to a wider audience Comfortable with ambiguity, highly autonomous A bachelor's degree in computer science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (a Master's Degree is a plus);