Amsterdam, Noord-Holland, Netherlands

Data Analytics Engineer

32 - 40 hours a week

✔ Are you a skilled analytics professional with a passion for data modeling, ETL processes, and enabling self-service platforms?

✔ Do you have experience with dbt and Snowflake, and a strong desire to help organizations make data-driven decisions?

✔ Are you skilled at creating compelling visualizations that effectively communicate insights and tell a story?

Then Xomnia is the place for you!

As an Analytics Engineering Consultant, you will transform raw data into valuable insights that drive business decisions. Your daily tasks will include working with clients to understand their reporting and analytics needs, building data models to support those needs, and collaborating with other engineering teams to integrate data warehouse best practices with other systems and applications. You will work on diverse projects, such as transforming Excel spreadsheets into a cloud-based data pipeline and building data models for advanced analytics. You will also develop strategies for self-service analytics and implement state-of-the-art tools to create robust data platforms that empower our clients' business stakeholders.

Please note that for this position, we are looking for candidates who have the legal right to work in the Netherlands.

What you will need

  • At least 3 years of experience building and maintaining ETL/ELT processes using dbt, AWS Glue, Fivetran, Azure Data Factory, Databricks or similar tools for accurate and efficient data modeling.
  • Proficiency in SQL and/or Python/Spark for data management.
  • Proficiency in Power BI/Tableau and experience creating impactful visualizations and dashboards.
  • At least 3 years of experience creating and maintaining data models, with a focus on scalability, performance, and security.
  • A strong understanding of data warehousing concepts and data engineering best practices.
  • Experience with cloud-based data warehousing solutions such as Snowflake, Redshift, Azure SQL Database, and BigQuery.
  • Experience with DevOps is a plus.
  • Fluent in English, and professional Dutch language is a plus.

Additionally, we are looking for someone who has:

  • Experience working with clients to understand their reporting and analytics needs, developing data models to support those needs, and managing stakeholder relationships and expectations

  • Excellent communication and collaboration skills to work effectively with clients and other engineering teams

  • The ability to work independently and as part of a team. Strong problem-solving skills to identify and resolve data issues, as well as provide technical support to clients' data users


At Xomnia, we're passionate about helping organizations make data driven decisions, and we're looking for someone who shares that passion. If you're ready to use your analytics and data warehousing skills to help our clients achieve their goals and have the opportunity to work on diverse projects, then we want to hear from you!

About us

We are Xomnia, the AI consulting company. We’re curious problem solvers who believe data will change the way we live, work and communicate. Being at the forefront of this revolutionary change in a sustainable, positive way is what drives us.

We solve challenging data science and engineering projects, from start to finish. From developing an application for real-time fraud detection on Google Cloud Platform, to setting up a customized recommender engine in an existing Microsoft Azure environment - we develop and deploy tailor-made data science solutions.

Xomnia started in 2013 in one room in the heart of Amsterdam. These days we take up nearly two houses. But more than just a workspace, we're a community that values authenticity. Here, everyone is encouraged to be themselves, to learn, and to have fun in the process.

Representing over 20 nationalities, our team values the unique cultural perspective that each individual brings to the table. Moreover, with the Dutch tech sector seeing a female representation around 11%, we are proud that over 30% of our workforce is female. Nevertheless, we recognize that there is more to be done, and we continue working to overcome barriers that still exist.

We encourage all candidates to apply, and we don’t discriminate based on race, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. However, a reality that we face is that many of our clients prefer to communicate in Dutch, making Dutch proficiency essential for some roles. Additionally, while we wish that we could sponsor visas for everyone, there are instances when it is not feasible.

If you're experienced, passionate, and align with our values, we want to hear from you.

Are you our new Data Analytics Engineer?