Data Engineer

Join HEMA’s central Data Engineering team and help shape the future of data! As a Data Engineer, you’ll work on impactful projects with cross-functional teams, building scalable data infrastructure that powers key business decisions. You’ll use cutting-edge tools like Databricks, Spark, AWS, Kafka, and CI/CD in a collaborative team of six. Ready to make a real impact? what we offer

At HEMA, you’ll experience an environment where people truly work together. You’ll receive proper guidance, useful feedback, and gain valuable experience. Whether you are looking for extending your knowledge and skills or for helping others to grow you are welcome here. In addition, at HEMA you’ll get:

A competitive salary based on your knowledge and experience.

30 vacation days (based on a 40-hour week) and 8% holiday allowance, so you can recharge in time.

A variable bonus of up to 14% of your annual salary – depending on our collective results.

A monthly net expense allowance.

A fixed year-end bonus of 4% of your annual salary.

️ 15% staff discount on all your HEMA favorites – from tompouce pastries to towels and notebooks.

A solid pension plan, so you're well taken care of later too.

Travel allowance of €0.21 per kilometer (starting from 10 km one-way, up to a max of 30 km).

Access to the ‘benefits at work’ platform, with discounts on top brands, day trips, and other extras that make life more fun.

you'll bring

You bring proven experience as a Data Engineer, having worked in complex data environments where reliability and scalability are essential. Your proficiency with Databricks and Apache Spark enables you to process large volumes of data efficiently and effectively. You have deep expertise in AWS services and cloud-based architecture, allowing you to build and maintain robust, scalable solutions. Your scripting skills in Python and SQL are strong, supporting both data manipulation and pipeline development. With hands-on experience in Kafka, you’re well-versed in implementing real-time data streaming solutions. You thrive in collaborative settings, working seamlessly with others and demonstrating strong interpersonal skills. Driven by ambition, you take ownership of your work and consistently deliver high-quality results.

HEMA

At HEMA, over 17,000 colleagues work together to create a better everyday life in a more beautiful world. With products that are more practical, more beautiful, better—and that last longer too. And with colorful stores in towns, cities, and online. We’re proud of how far we’ve come, but we’re not done yet. HEMA is truly HEMA again and ready for the next step. Our ambition? To become a frontrunner in a challenging market. We do this together, as one team, with proud colleagues, entrepreneurs, and partners. By playing to win. That means being curious, seizing opportunities, working together with joy, and always aiming for the best result. You speak up, challenge others, and help each other grow. With your unique contribution, you can help build the HEMA of tomorrow. Are you in? Unfortunately, we are not able to offer visa sponsorship for this role.the challenge

As a data engineer, you are responsible for designing, developing, and maintaining robust data pipelines that ensure reliable ETL processes from a wide range of data sources. You leverage Databricks and Apache Spark to handle large-scale data processing efficiently. Collaboration is key in your role. You work closely with fellow engineers, data scientists, and analysts to deliver clean and accessible datasets. You also contribute to the development and optimization of the central data platform, which serves as the backbone for data-driven decision-making across the organization. In addition, you implement real-time data streaming solutions using Kafka, enabling immediate access to data for time-sensitive applications. You champion CI/CD practices to streamline ETL-pipelines and ensure smooth infrastructure deployment.

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eerste gesprek (online)

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assessment (online)

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aanbieding

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