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Data Analytics Engineer

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Summary

Data Analytics Engineer building scalable data models and pipelines using dbt, Snowflake, and Power BI. The role involves bridging raw data and business decision-making by creating governed pipelines and self-service analytics platforms for various clients.

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Xomnia career
Data Analytics Engineer - Hybrid - - Amsterdam , Noord-Holland , Netherlands - €3,800 - €6,200 per month - Core Team
About the role and the Xomnia Culture
At Xomnia, Analytics Engineers are the bridge between raw data and decision-making. You build scalable data models and pipelines that empower business users, analysts, and data scientists to do their best work. With strong roots in engineering and a keen eye for business logic, you ensure that the right data reaches the right people - in the right format.
From transforming spreadsheets into governed pipelines to enabling self-service platforms with tools like dbt, Snowflake, and Power BI, you'll play a key role in creating data platforms that are both robust and insightful.
Our culture is built on a foundation of open sharing, embracing agility, and the confidence to challenge assumptions. If you thrive on collaboratively turning complexity into clarity and proactively seeking better ways, this role is for you. Are you ready to take on this challenge?
In this role, you'll partner with clients across industries to design and implement analytics infrastructures that support real-time insights and decision making. You'll help shape data strategies, translate stakeholder needs into actionable models, and drive adoption through excellent documentation and visualization. Job requirements Your role -
Build and maintain scalable, governed data models using tools like DBT, Databricks, or Snowflake. -
Optimize data workflows for performance, usability, and cost efficiency. -
Work closely with business users to understand analytics needs and create semantic layers that support them. -
Develop and manage self-service analytics platforms with tools like Power BI and Tableau. -
Collaborate with data engineers and platform teams to align on infrastructure and governance. -
Translate complex data into clear, actionable insights ...

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