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Supply Chain Data Architect

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Employment type in the employer’s posting: Full time
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Apply at fa-ewwx-saasfaprod1

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

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Nov 9, 2026today
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1
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Nov 6, 2026

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fa-ewwx-saasfaprod1 is hiring

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See how this role fits your experience

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  • Python
  • SQL
  • Azure
  • SAP
  • PySpark
Where the posting names them
- Proficiency in SQL and experience building and maintaining complex data pipelines. - Practical experience with Python, especially PySpark for data ingestion and transformation. - Working knowledge of Azure services including Data Lake Storage Gen2, Key Vault, networking concepts, and identity/access management. Experience with source control, CI/CD, and Azure DevOps.
- Developing and maintaining Microsoft Fabric pipelines, notebooks, and Lakehouse solutions. - Building and optimizing PySpark and SQL-based data ingestion and transformation processes. - Monitoring platform performance, troubleshooting issues, and ensuring reliable data delivery.
- Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Semantic Models, and Capacity Management. - Proficiency in SQL and experience building and maintaining complex data pipelines. - Practical experience with Python, especially PySpark for data ingestion and transformation.
About Your Future Role In this position, you will: - Own day-to-day platform operations, monitoring, troubleshooting, and incident resolution across Microsoft Fabric, Azure Data Lake Storage, and source system integrations. - Develop, maintain, and expand our Microsoft Fabric data platform, ensuring reliability, scalability, and performance.
- Practical experience with Python, especially PySpark for data ingestion and transformation. - Working knowledge of Azure services including Data Lake Storage Gen2, Key Vault, networking concepts, and identity/access management. Experience with source control, CI/CD, and Azure DevOps. - Experience integrating enterprise applications (e.g., SAP) and external data sources is highly advantageous.
- Design and maintain scalable data models, semantic models, and lakehouse structures that support reporting, analytics, and self-service consumption. - Implement robust data ingestion pipelines, primarily using PySpark, from SAP and various external sources (e.g., handheld operational scanners, 3rd-party distributors). - Collaborate closely with business stakeholders to understand and translate use cases into clear, actionable technical requirements.
- Working knowledge of Azure services including Data Lake Storage Gen2, Key Vault, networking concepts, and identity/access management. Experience with source control, CI/CD, and Azure DevOps. - Experience integrating enterprise applications (e.g., SAP) and external data sources is highly advantageous. Soft Skills:

Your next step

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 783, the most 1,204, and the latest week had 829.
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 Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 technically skilled professional to join our Supply Chain team as the technical owner of our Microsoft Fabric-based Supply Chain Data Platform. 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 engineering expertise with the curiosity and capability to drive technical architecture discussions, translating business requirements into tangible solutions. Initially, this role will balance technical implementation (data engineering) and architecture tasks, with additional opportunities for leadership and product ownership as the platform matures.

About Your Future Role
In this position, you will:

  • Own day-to-day platform operations, monitoring, troubleshooting, and incident resolution across Microsoft Fabric, Azure Data Lake Storage, and source system integrations.
  • Develop, maintain, and expand our Microsoft Fabric data platform, ensuring reliability, scalability, and performance.
  • Design and maintain scalable data models, semantic models, and lakehouse structures that support reporting, analytics, and self-service consumption.
  • Implement robust data ingestion pipelines, primarily using PySpark, from SAP and various external sources (e.g., handheld operational scanners, 3rd-party distributors).
  • Collaborate closely with business stakeholders to understand and translate use cases into clear, actionable technical requirements.
  • Suggest and justify enhancements to platform architecture, adhering to existing guardrails while continuously seeking improvement opportunities.
  • Maintain an efficient balance between new feature development and ongoing platform maintenance.
  • Act as a bridge between technical solutions and business teams, proactively communicating and facilitating data-driven decision-making across the organization.


What a Typical Day Looks Like:

  • Developing and maintaining Microsoft Fabric pipelines, notebooks, and Lakehouse solutions.
  • Building and optimizing PySpark and SQL-based data ingestion and transformation processes.
  • Monitoring platform performance, troubleshooting issues, and ensuring reliable data delivery.
  • Working closely with Supply Chain stakeholders to translate business requirements into data solutions.
  • Improving platform architecture, data models, and data quality across the data platform.
  • Balancing new development, platform maintenance, and operational support.
  • Maintaining documentation and sharing knowledge to ensure platform continuity.


What We Value in You
We’re looking for someone eager to make a difference. Here’s what we value:

Hard Skills:

  • Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Semantic Models, and Capacity Management.
  • Proficiency in SQL and experience building and maintaining complex data pipelines.
  • Practical experience with Python, especially PySpark for data ingestion and transformation.
  • Working knowledge of Azure services including Data Lake Storage Gen2, Key Vault, networking concepts, and identity/access management. Experience with source control, CI/CD, and Azure DevOps.
  • Experience integrating enterprise applications (e.g., SAP) and external data sources is highly advantageous.


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?

  • Opportunity to significantly shape and influence the growth and direction of a critical data platform within a supportive team environment.
  • Professional growth, including access to senior experts and training opportunities to accelerate your development into more senior or leadership roles.
  • 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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