Analytics Engineer

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. The Analytics Engineer is part of the central data platform team and reports to the Data Platform Lead. The Analytics Engineer works closely with the Data Engineers, the Data Governance Specialist, and the Data Stewards from the domains. During the Foundation and Operationalization phases, the Analytics Engineer temporarily fulfills the steward role for departments that do not yet have their own Data Steward.

Responsibilities and tasks

Designing and building data transformations that convert raw data from the platform into semantic datasets and data products

Developing reports, dashboards, and analytical datasets in collaboration with Data Stewards and business users

Translating content-related questions from the business into technical data products in collaboration with the Data Steward of the relevant domain

Contributing to the business glossary in Microsoft Purview, particularly regarding the definitions resulting from transformations

Documenting datasets and data products in a manner accessible to business users

Performing acceptance tests on data deliveries together with the Data Owner and requester

Contributing to data quality incidents as described in process 3 of the TOM, particularly regarding reports arising from transformations or data products

Participating in the agile working method of the team

Contribute to code reviews and quality assurance of the work of fellow engineers

Mandate and authority

Decide on the technical implementation of transformations within the architectural frameworks and in consultation with the Data Platform Lead

Advises Data Stewards and Data Owners on the technical feasibility and suitability of requests from the business

Temporarily holds the mandate of Data Steward for departments without their own Steward, including the associated responsibilities as described in section 2.6 and the RACI matrix of the TOM. Collaborative Relationships

Daily with other Analytics Engineers, Data Engineers, and the Data Platform Lead

Regular with Data Stewards from the domains being built

Regular with the Data Governance Specialist (alignment regarding definitions and metadata)

During the temporary steward role: regularly with the relevant Data Owner and with employees within the domain

Periodically with business requesters for large or complex requests

Time Commitment

Full-time position (1 FTE). The distribution between regular Analytics Engineer duties and the temporary steward role depends on the number of departments without their own Steward. In the Foundation phase, up to 30 percent of the time is expected to be spent on the temporary steward role, decreasing as more departments appoint their own Steward.

WHAT YOU WILL BE DOING

As an Analytics Engineer, you are the one who converts raw data into something the business can actually work with. You will work in a team of five data specialists and maintain continuous contact with colleagues from the business to understand their information needs and translate them into concrete data products.

Your responsibilities include, among others:

Contributing ideas regarding architectural coherence and identifying technical debt

Designing and building data transformations that convert raw data into usable datasets and reports

Translating business requirements into technical data products in collaboration with the Data Stewards from the domains

Building reports and analytical datasets that assist in operational and strategic decision-making within ZLM

Temporarily fulfilling a steward role for departments that have not yet appointed their own Data Steward, acting as the bridge between that department and the data platform

Documenting what you build in a way that is understandable to both fellow engineers and business users

Working in an agile team where shared quality and delivery come first

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.

✅ You like staying long-term in projects.

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.

❌You are not located in Belgium and cannot accommodate the required on-site presence of approximately three days per week.

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:

Monthly Hackathons

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.

Development Budget

€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.

Conferences and Speaking

Attending and speaking at relevant conferences doesn't come out of your vacation time.

Knowledge Sharing

Bi-weekly knowledge sharing events with your Xebia colleagues that include dinner.

Sandbox Environments

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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.

Great Community

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!

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.

Tech and Mobility Budget

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.

Unlimited Book Budget

Feed your curiosity and keep learning – order any books you want, on us.

Very Good Pension Plan

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.