Time since we first saw it
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Early. Similar jobs usually come down between day 5 and day 54.
From 12,066 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Hands-on experience with Microsoft Fabric or similar end-to-end data platforms (Azure Synapse, Databricks, Snowflake).
Strong experience with data modelling techniques, especially dimensional modelling (star schemas, snowflake models) and building semantic layers for analytics.
Strong proficiency in DAX (Data Analysis Expressions) for creating calculated columns, measures, KPIs, and time intelligence logic.
Practical experience with SQL is mandatory (PySpark/Python optional), and experience with incremental refresh and real-time patterns is a plus.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 12,066 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Strong proficiency in DAX (Data Analysis Expressions) for creating calculated columns, measures, KPIs, and time intelligence logic. - Practical experience with SQL is mandatory (PySpark/Python optional), and experience with incremental refresh and real-time patterns is a plus. Soft Skills:
Hard Skills: - Hands-on experience with Microsoft Fabric or similar end-to-end data platforms (Azure Synapse, Databricks, Snowflake). - Strong experience with data modelling techniques, especially dimensional modelling (star schemas, snowflake models) and building semantic layers for analytics.
- Design and maintain semantic data models using star schema and dimensional modelling best practices. - Building and optimizing Power BI datasets and reports that are reliable, intuitive, and aligned with business needs. - Writing advanced DAX measures and calculated columns to support reporting, KPIs, and time-based analytics.
- Working closely with business stakeholders to validate outputs, improve usability, and guide self-service BI adoption. - Ensuring performance optimisation in Power BI datasets (e.g., aggregations, indexing, efficient DAX). - Participating in architectural discussions around data governance, naming conventions, reusability, and platform scalability.
- Documenting your work to support transparency, onboarding, and long-term maintainability. - Staying up to date on Power BI and Microsoft Fabric capabilities and applying new features where relevant. What We Value in You We’re looking for someone eager to make a difference. Here’s what we value:
- Strong experience with data modelling techniques, especially dimensional modelling (star schemas, snowflake models) and building semantic layers for analytics. - Solid hands-on experience with Power BI, including building interactive reports, dashboards, and data models. - Strong proficiency in DAX (Data Analysis Expressions) for creating calculated columns, measures, KPIs, and time intelligence logic.
- Hands-on experience with Microsoft Fabric or similar end-to-end data platforms (Azure Synapse, Databricks, Snowflake). - Strong experience with data modelling techniques, especially dimensional modelling (star schemas, snowflake models) and building semantic layers for analytics. - Solid hands-on experience with Power BI, including building interactive reports, dashboards, and data models.
Complete your application on fa-ewwx-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
What if your next job lets you simplify payments for millions, every single day?
Join Nexi and be part of a collaborative, inclusive workplace where you can learn, grow, and make an impact everyday.
About Nexi
At Nexi, we're simplifying the future of digital payments. As one of Europe's leading payment companies, we combine international scale with the dynamism of a fast-moving tech company. With over 9,000 colleagues across more than 25 countries, we're shaping how people and businesses pay and interact every day. Here, your skills, curiosity, and ambition don't just support the business. They help shape what comes next.
Your Everyday at Nexi
We are looking for a motivated and BI-technically skilled professional to join our Supply Chain data team. This person will play a crucial role in building and developing our newly initiated Microsoft Fabric-based data platform, integrating data from SAP and various external sources.
The ideal candidate will combine hands-on data expertise with the curiosity and capability to drive technical architecture discussions, translating business requirements into tangible solutions. In this role, you will take ownership of the front-end, including serve, consume, and reporting layers of our Microsoft Fabric-based data platform, while collaborating closely with a colleague who focuses on the Ingest and Integrate layers (data ingestion, transformation, and preparation). Your main responsibility will be to ensure that data is structured, modelled, and visualised in ways that empower decision-making across our Supply Chain organisation.
About Your Future Role
In this position, you will:
What We Value in You
We’re looking for someone eager to make a difference. Here’s what we value:
Essential Qualifications:
Hard Skills:
Soft Skills:
What’s in it for You?
Life and Culture at Nexi
At Nexi, you'll collaborate across teams, markets, and disciplines to solve complex challenges and deliver meaningful results. You'll be part of an environment where knowledge sharing, continuous improvement, and teamwork are part of everyday life. Discover more about our culture, values, and what it's like to be part of Nexi on our Life at Nexi page.
Diversity and Inclusion Commitment
At Nexi, diversity and inclusion are at the heart of who we are. By embracing differences and fostering respect, we build a culture where every individual has the opportunity to learn, grow, and succeed.
Next starts with you, everyday
At Nexi, our next idea, our next innovation, starts with you. Join us today.
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Denmark
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