Senior Data Engineer

About Medius
Medius is a leading global provider of cloud-based spend management solutions, helping organizations drive their business forward by enabling best-in-class process efficiency, cost-savings, and greater financial control. 

Our modular spend management suite includes market leading solutions for payments, strategic sourcing, contract management, procurement, accounts payable automation, and supplier management as well as data insight tools bringing control, compliance and cost savings throughout the entire source-to-pay process.

Thanks to an easy cloud deployment, intuitive user interface, and built-in best practices, our customers experience tangible savings right from the start in addition to long-term ROI success. With Medius, spend is simply managed and savings are quickly realized by our customers.

Founded in 2001 and celebrating 20 years in business, Medius is owned by the global investment firm Marlin Equity Partners. In 2019 Medius acquired Wax Digital in The UK, followed by further acquisition of OnPay Solutions in USA to become a powerhouse in spend management solutions. The group has over 550 employees and offices in Sweden (HQ), the United States, the United Kingdom, Australia, Denmark, Norway, the Netherlands, Canada and Poland.

As a Gartner Magic Quadrant Visionary company, Medius continues investment in and execution of a substantial growth plan to reinforce Medius’ position as a global leader in the market. With a dedicated Medius Pay sales team, we extend our reach even further.

We have a culture of constantly challenging ourselves and our colleagues and appreciating an ethos of open feedback to support alignment and collaboration towards our common goals.  Add to this strong leadership from an experienced global executive management team and you'll find a terrific opportunity to join Medius and truly make a difference.  

If you are ready to challenge yourself in a business with incredible momentum and rapid growth; in a company leading the change – not following it – then come and join us here at Medius.

For more info: www.medius.com

What will you do?

• Design and implement scalable data processing infrastructure and ETL pipelines on Azure, ensuring efficient and reliable data flow to support AI/ML models, analytics, reporting, and other data-driven applications.

• Establish and enforce robust data governance practices, ensuring the security, integrity, and availability of data across the platform.

• Continuously enhance your data engineering expertise, staying ahead of industry trends, and proactively sharing insights and best practices with the team to foster a culture of learning and innovation.

What kind of experience should you have?

• Strong hands-on experience with Azure cloud services, including Spark/Databricks, and a deep understanding of cloud-based data architectures.

• Minimum 5 years of experience as a Data Engineer

• Proficiency in Python and SQL, with a proven track record of building and optimizing complex ETL/ELT processes in Data Lakehouse environments.

• Experience with data mesh architecture is highly desirable, demonstrating your ability to work within decentralized data environments.

• A passion for continuous learning, coupled with the ability to communicate complex technical concepts to non-technical stakeholders.

Hiring process:

• HR Interview
• Technical Interview 
• Hiring Manager Interview
• Validation Interview