Analytics Engineer

Xebia; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Healthy lunches

Tech budget

Sandbox environments in GCP/AWS/Azure

Xebia Data Fridays

Development budget €5000 / 6 days

Mobility budget

Dog-friendly office

Job summary

Xebia Data in Amsterdam is seeking an Analytics Engineer to bridge business and analytics, building robust data pipelines and data models. You will work across business needs, reporting, and visualization to unlock value from data.

You will collaborate with experts in data modelling, software engineering, and cloud platforms, enjoying a generous tech budget and a dog-friendly office. The role emphasizes learning, curiosity, and delivering high-quality data products.

Qualifications

• 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 modelling 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, know the basics of Python, and you stand out for your expertise in one or more areas of analytics engineering.

Responsibilities

• Bridge between business and analytics, translating needs into data solutions.
• Build production-grade data pipelines and ensure high-quality data for analytics.
• Model, test, and document data using modern tooling.
• Enable data democratization by improving data reliability and accessibility.

Skills

SQL

Python basics

Data modelling

Software engineering

Tools

GCP

AWS

Azure

Job description

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 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!

• You can enjoy, for free, healthy lunches and not-so-healthy drinks/snacks at our offices.
• You can use the great benefits we offer for your physical and mental well-being.
• You get a generous tech budget.
• You can build/test/experiment anything you want in our sandbox environments in GCP, AWS and Azure.
• You can work on that innovative idea of yours during the monthly Xebia Data Fridays.
• You have 5.000 Euros and 6 days of development budget per year which you can spend on anything that will make you a better data professional.
• You also have a monthly mobility budget to spend on leasing a car, or leasing the e-bike of your dreams, or getting a NS Business Card.
• Finally, we have a modern and dog friendly office in Amsterdam, Oostenburg.

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!

• 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 modelling 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, know the basics of Python, and you stand out for your expertise in one or more areas of analytics engineering.

• 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.

Please note that we do not provide relocation at the moment.