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-DRIVEN
The 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 FOR
Within the Analytics Engineering team, we are looking for like-minded people that we would like to work with. We are not looking for a specific type of professional. We all come from very different cultural and educational backgrounds. We love this diversity, and we built an inclusive culture around it. We do not judge, instead, we care about and support each other. We share a genuine curiosity about what we do, and together we get better at it every day. We look for people with this mindset before anything else. We welcome various levels of experience and seniority. What we value the most is your curiosity and willingness to learn. Looking forward to meeting you!!
THIS IS YOUR DREAM JOB IF…
✅ You love creating value by solving various problems with data, in the most sustainable and robust way.
✅ You are trained as a data analyst, scientist, or engineer but have a deep interest in data modeling and software engineering best practices.
✅ You are a jack-of-all-trades, who wants to become a true authority in the field by learning new skills and trying out the latest data tools.
✅ You have excellent communication skills, are interested in learning about the whole data cycle, can write efficient SQL queries, have hands-on experience with Python, Dbt, and cloud platforms, and you stand out for your expertise in one or more areas of analytics engineering.
THIS IS NOT YOUR DREAM JOB IF…
❌ You always take the academic approach to data and analytics and find it hard to be pragmatic.
❌ You do not enjoy communicating with stakeholders, getting to know the needs of the business, and formulating sustainable solutions.
❌ You do not want to become an authority. You are hesitant to take a proactive approach and bring your ideas forward.
❌ You dislike sharing knowledge by leading trainings, organizing workshops, or writing blog posts.
WHAT IT IS LIKE TO BE A CONSULTANT AT XEBIA DATA
As a consultant at Xebia Data, you will have projects of varying length. Some are 2 weeks, some are 1 year, most are in between. Every project is different, as is every client. We, however, always deliver the best quality possible. It is not always easy, but it is always rewarding. You will have exposure to different companies, different problems, different systems and solutions. You will be surrounded by experts in different fields, and you will learn so many new things in a short time. Xebia Data offers the perfect environment to shine as a data professional.
You will never be alone on this journey. We have all experienced imposter syndrome, had a difficult project, or felt down at times. We know what it takes, we know it is difficult sometimes, and we will be there for you when you need it. We say People First, and we mean it.
Xebia Data offers you great benefits too, of course!
We work in a hybrid model – at client sites, in our own office in Amsterdam Oostenburg, and from home. While flexibility is important, coming to the office is essential for building the close-knit team we are. We value team cohesion, knowledge and personal development, innovation, and fun. We strive for authority in everything we do. At most companies, you'll see similar statements, but at Xebia Data, we back this up with concrete benefits:
Full-day hackathons on company time. You can choose to work on whatever and with whomever. Want to invite a friend from outside? No problem.
€5,000 per year and 6 days of dedicated development time – it's your obligation to spend it on anything that will make you a better data professional.
Attending and speaking at relevant conferences doesn't come out of your vacation time.
Bi-weekly knowledge sharing events with your Xebia colleagues that include dinner.
Sandbox Environments
Build, test, and experiment with anything you want in our GCP, AWS, and Azure sandbox environments.
A modern and dog friendly office in Amsterdam, Oostenburg.
We're heavily involved in our community by sponsoring, hosting, and organizing events. Have an idea for a meetup we should sponsor? Or want to start a new one? Let's do it!
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Physical and Mental Well-being
Great benefits for your physical and mental health, plus free healthy lunches and not-so-healthy drinks/snacks at our offices.
A generous tech budget, plus a monthly mobility budget to spend on leasing a car, leasing the e-bike of your dreams, or getting an NS Business Card.
Feed your curiosity and keep learning – order any books you want, on us.
We've got your future covered with a solid pension plan.
Fun events and activities like ski trips, BBQs, cooking workshops and more!
Our core values are people first, quality without compromise, knowledge sharing, and customer intimacy. At Xebia Data, you will find like-minded colleagues who are at the forefront of their field and have the courage to go off the beaten track; they are the people who make organizations move.
Sounds interesting? Let’s talk.
