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Supply Chain Data (BI) Specialist

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Apply at fa-ewwx-saasfaprod1

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1
Employer says posted
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

fa-ewwx-saasfaprod1 is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • Snowflake
  • PySpark
Where the posting names them
- 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.

Your next step

Complete your application on fa-ewwx-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 834, the most 1,312, and the latest week had 1,079.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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:

  • 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.
  • Collaborating with data engineers to ensure the Serve layer receives clean and well-structured data from SAP and other sources.
  • Translating business requirements into structured data models and reusable reporting assets.
  • 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:

Essential Qualifications: 

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.
  • 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.
  • Practical experience with SQL is mandatory (PySpark/Python optional), and experience with incremental refresh and real-time patterns is a plus. 


Soft Skills:

  • Strong communicator, able to explain complex data and platform concepts clearly to both technical and non-technical stakeholders.
  • Highly collaborative and able to independently manage technical tasks while maintaining open dialogue with business users.
  • Proactive attitude towards engaging the business in using and understanding data.
  • Curious, growth-oriented mindset—able to develop from a mid-level role into a future senior or leadership position.


What’s in it for You?

  • Attractive salary and a competitive benefits package to reward your expertise and contributions 
  • Tech equipment: Get the tools you need to succeed, including the latest technology to support your work
  • Join an international team: Collaborate with experts from across Europe and bring your ideas to life in a dynamic, global environment 
  • Grow and develop: Gain hands-on experience and structured training through our PayTech University, designed to accelerate your career and help you reach your full potential


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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