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 Sweden's most advanced industries.
Now we're 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 don't just work on data —
you elevate industries with it.
Join Us
If you're ready to build data solutions that scale, lead cloud-native engineering practices, and shape the future of SAP analytics — then you're ready to become a Multiplier.
Apply now, become a multiplier and help multiply value with data.
