Data Engineer

Your mission In the digital era, data is akin to gold, holding immense value for those who can effectively harness it. Despite its potential, many companies struggle to fully understand and leverage their data assets. At Macaw, we empower our clients by developing robust and future-proof data platforms that accommodate both traditional and cutting-edge data-driven initiatives. Our proven expertise has benefitted a wide array of clients, including Basic Fit, PWN, Vivat, Henkel, and ABN AMRO. Joining our team of 400 international experts, you will contribute to crafting premier digital solutions that drive client success. Our dedicated Data & Analytics team spans the entire data spectrum, from conventional Business Intelligence to sophisticated analytics incorporating AI and Data Science, with a special emphasis on the Microsoft BI Stack. We champion a collaborative culture where individual and collective responsibilities merge, fostering a professional yet supportive environment. This includes constructive feedback, mutual support, knowledge sharing, and celebrating our achievements as a team. Your profile Responsibilities Consult with clients on the technical possibilities and requirements within the Data & Analytics realm. Collaborate on designing, developing, and deploying D&A applications, big-data platforms, and self-service BI solutions. Engagementin architectural design, as well as building deployment processes, using Azure DevOps and Azure Services. Manage data pipelines and tackle data engineering challenges. Keep abreast of data trends to ensure both client success and personal growth. Opportunities for using Azure credits for Proof of Concepts or personal projects are encouraged for continuous learning and innovation. Requirements A minimum of 2 years' experience in Data Engineering. Knowledge of data modelling, normalisation, and performance optimisation. Proficiency in Python,SQL and PySpark for data querying and processing tasks. Experience in designing and implementing ETL/ELT workflows with Azure Data Factory, Azure Synapse Analytics, Databricks or similar tools. Experience with cloud platforms, preferably Azure, including infrastructure, services, and deployment models. Interest in new technologies like Microsoft Fabric,and familiarity with its features and capabilities. Proficiency in English, both written and verbal. Open to occasional travel if required by our client. Preferred knowledge in Vector databases (Azure Search/pgvector) in chunking and indexing strategies. Graph databases structures (graph traversal, node topology, path resolution). Context engineering in AI agent orchestration frameworks. Why us? Joining Macaw isn't just about a job - it's about embracing a culture of growth, flexibility, and well-being. Here's what you can expect: Extra paid holidays. Flexible hours and remote work options, including the possibility to work from abroad. Home-office setup budget. Free parking and lunch discounts. Comprehensive health insurance from Compensa. A training budget for professional development. Referral bonuses. A wellness package that supports mental health, including free psychologist consultations. Salary Range We value your expertise and offer a competitive salary range of €3600 – €5100 gross, tailored to your experience and qualifications. Contacts