Analytics Engineer

Xebia Benelux — Netherlands · Posted ~2 hours ago

Mid

Skills

Data analytics Data engineering Data pipelines Data modeling Data testing Data documentation Software engineering Data Pipelines Data Modeling Data Testing Data Visualization

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Summary ✨ AI‑Generated

Build production-grade data solutions that connect business needs with analytics. You will create robust pipelines, model and test data, document data products, improve data reliability and accessibility, and enable organizations to make better use of their information.

Highlights

A bridge between business and engineering, focused on building robust production-grade data pipelines, reliable data products, and modern analytics solutions that create measurable business value.

Description

DOES THIS SOUND LIKE YOU?Your passion is data and analytics. You want to create value for our clients by uncovering, organizing, and making sense of data. You understand that it is important to build robust solutions. You feel comfortable operating in the sweet spot between business and engineering. WHAT YOU WILL DO TO MAKE ORGANIZATIONS DATA-DRIVENThe Analytics Engineer is the bridge between business and analytics. You understand what data can bring to the organization. With your effective communication skills, you help uncover business needs and how to support them with data, reporting, and visualization. You use software engineering best practices to write production-grade data pipelines, making high-quality data available for creating business value with analytics. You leverage modern tooling to model, test, and document data.Your efforts enable data democratization by improving the reliability and accessibility of data products. As an Analytics Engineer, you play a vital role in empowering end users to make data-driven decisions.Check out our website or one of our customer stories to get a more detailed understanding of what we do.Interested in learning more about how and why the role of Analytics Engineering emerged? You can read this blogpost from one of our Analytics Engineers!WHAT WE ARE LOOKING FORThe Senior Analytics Engineering is a position with a central role in our clients' teams, and therefore, we require at least 5 years of relevant professional experience. You will act as a lead within a team and you must be able to manage your team and coordinate with the client on long-term strategy and goals of the project.We like to be amazed: so if you have done some outstanding pet projects, like contributing to open source projects or starting your own company, we encourage you to show it. We look for people with a growth mindset before anything else. What weWhat you value most is your curiosity and willingness to learn.