Senior Data Engineer – SAP & GCP

Huddinge - Sweden

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Are you a highly skilled Data Engineer with deep SAP expertise and a passion for cloud-native engineering Do you thrive in complex large-scale data environments where your work directly accelerates business impact Then Multiply Teknik & IT is the place for you.

At Multiply we combine high-end engineering consulting with our own product ecosystem VisFlow VisFlow Embedded and Multiply Academy to deliver end-to-end data engineering and lifecycle intelligence for some of Swedens most advanced industries.
Now were looking for a Senior Data Engineer who can strengthen our capabilities in SAP and Google Cloud Platform enabling our customers to build scalable analytical solutions and multiply value with data.

About the Role

As a Senior Data Engineer at Multiply you take end-to-end responsibility for building optimizing and supporting modern data products across GCP and SAP Datasphere. You will work at the intersection of:

cloud-native data engineering
SAP domain knowledge
advanced analytics & data modelling
scalable architecture and DevOps practices
collaborative product-driven development

You support data mesh principles guide product teams and serve as a technical leader who drives quality structure and innovation across the entire data lifecycle.

This is a role for someone who wants to shape high-impact data solutions that power decision-making operations and customer experience.

What You Will Do

Build enhance and optimize data pipelines and products on Google Cloud Platform
Manage CI/CD Terraform Git and cloud infrastructure in GCP
Deploy and maintain analytical capabilities in SAP Datasphere
Integrate SAP sources such as ECC CAR EWM POS Inventory and General Ledger into GCP-native solutions
Model and provision data using CDS Views Datasphere modeling layers and best-practice SAP patterns
Apply strong engineering principles to ensure scalability security observability governance and performance
Collaborate with Product Owners and cross-domain teams to support data mesh and customer-centric development
Drive continuous improvement reduce technical debt and elevate engineering practices
Coach engineers lead pair programming and present solutions to complex engineering challenges
Promote Agile ways of working and help teams deliver with speed and quality

Required Qualifications

8 years of experience in data engineering
Strong expertise with GCP stack: BigQuery Dataflow DBT
Deep experience with SAP Retail scenarios (ECC CAR EWM)
Advanced understanding of SAP data structures and SAP Datasphere
Hands-on experience with Power BI or other BI tools
Solid knowledge of data formats (Avro Parquet) and SQL
Programming skills in Python Java or Scala
Experience with RDBMS and NoSQL databases
Strong ability to design scalable enterprise-grade data products
Experience with Integrated Planning/BPC
Excellent communication and collaboration skills
Fluent in English (Swedish is a plus)

Preferred Qualifications

Experience from the retail industry
Familiarity with SAFe or other Agile frameworks
Experience as Scrum Master or in leading Agile ceremonies
Proven ability to solve complex challenges through coding and analytical thinking

Why Multiply

At Multiply you join a company that blends:

knowledge-based consulting
VisFlow our product ecosystem for engineering intelligence
VisFlow Embedded data generation at the edge
Multiply Academy structured growth & certification

We deliver end-to-end value: from sensors and embedded systems to cloud analytics to modelling traceability simulation and decision intelligence.

Our culture is built on Swedish values: trust humility transparency and collaboration. We grow people through continuous learning strong leadership and meaningful assignments.

Here you dont just work on data
you elevate industries with it.

Join Us

If youre ready to build data solutions that scale lead cloud-native engineering practices and shape the future of SAP analytics then youre ready to become a Multiplier.

Apply now become a multiplier and help multiply value with data.