Data Engineer

In the digital era, data is akin to gold, holding immense value for those who can effectively harness it. Despite recognizing 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 500 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.

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.
• Engage in architectural design, as well as the building and deployment processes, using Azure DevOps and Azure Services.
• Manage ETL and Azure Data Factory 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.
• Proficiency in Python and SQL for data processing, scripting, and database management tasks.
• Experience in designing and implementing ETL/ELT workflows with Azure Data Factory, SSIS, or similar tools.
• Experience with cloud platforms, preferably Azure, including infrastructure, services, and deployment models.
• Interest in new technologies like Azure Synapse Analytics and Fabric and familiarity with its features and capabilities.
• Proficiency in English, both written and verbal.
• Open to occasional travel if required by our client.

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 €3000 – €5000 gross, tailored to your experience and qualifications.