Analytics engineer

Xccelerated

Amsterdam

On-site

EUR 55,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
25 vacation days
Weekly technical training
MacBook and iPhone
Delicious lunches and snacks

Job summary

A tech accelerator in Amsterdam is seeking an Analytics Engineer to drive data-driven decision making. The role includes designing data models, building data pipelines, and collaborating with data professionals. Ideal candidates have 3-4 years of related experience and strong skills in data modeling and SQL. With comprehensive training and a competitive salary, this role offers a launchpad for a successful career in Data & Cloud.

Qualifications

  • 3-4 years of experience in Analytics Engineering or data warehouse development.
  • Strong data modeling skills including Data vault, Kimball, etc.
  • Familiarity with cloud platforms and their data components.

Responsibilities

  • Design and optimize data models and data flows.
  • Build and maintain data pipelines and dashboards.
  • Automate and enhance analytics processes.

Skills

Problem-solving
Data modeling
SQL
DBT
Cloud platforms

Education

Bachelor's or Master's degree in a relevant field

Job description

Analytics Engineer

Are you ready to make a real impact in the world of analytics? Do you want to combine hands‑on project work with advanced training that accelerates your career?

At Xccelerated, we’re looking for Analytics Engineers who are eager to grow, make a difference, and thrive in an environment where learning and doing go hand in hand. With our fully‑paid program, you’ll sharpen your skills and gain experience at one of our partner organizations—while earning a full salary from day one.

Why Join Us?
  • Work on impactful analytics projects with a leading client organization
  • Get over 60 days of in‑depth training in modern data tooling and analytics best practices
  • Collaborate with ambitious professionals in the Data & AI space
  • Transition to a direct contract with the client after 13 months
What You’ll Be Doing

As an Analytics Engineer at Xccelerated, you’ll be at the heart of data‑driven decision making.

  • Design and optimize data models and data flows to support business insights
  • Build and maintain data pipelines and dashboards used for critical reporting
  • Automate and enhance analytics processes for reliability and scalability
  • Collaborate with data scientists, analysts, and engineers to deliver actionable insights
Who You Are

We’re looking for customer‑focused problem solvers with a passion for analytics and scalable data solutions.

  • A bachelor’s or master’s degree in a relevant field
  • 3–4 years of experience in Analytics Engineering or data warehouse development
  • Strong data modeling skills (Data vault, Kimball, etc)
  • Work experience with DBT
  • Solid experience with SQL (Python is a plus!)
  • Familiarity with cloud platforms and their data components
What We Offer

At Xccelerated, we don’t just offer a job—we offer a launchpad for your career in Data & Cloud.

  • Competitive salary – we value your skills and experience
  • 25 vacation days – take the rest you need
  • Weekly technical training and innovation days throughout the year
  • A MacBook, iPhone, and top‑tier tooling
  • Delicious lunches, great coffee, and a well‑stocked snack bar
About Us

Xccelerated (part of the Xebia Group) is a tech accelerator that empowers engineers to become leaders in Data & Cloud. We combine top‑tier consulting work with a powerful learning journey.

You’ll work four days per week at one of our partner companies and spend one day per week on structured training, mentorship, and innovation.

After one year with us, you’ll have the opportunity to join one of our partner companies directly and continue your impact.

Ready to Take the Next Step?

We’d love to meet you!

Contact Samantha Goncalves – sgoncalves@xccelerated.io

Call us at: +31613889770

Application Process
  1. First interview with one of our recruitment consultants
  2. Technical assessment and presentation with one of our Tech Leads (remote)

We aim to complete the process within 1–3 weeks, depending on your availability. Looking forward to hearing from you!

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