Data Engineering consultancy in Stockholm
Data Engineering consultants in Stockholm
SwedQ provides senior Data Engineers and Data Architects who join your team to build and run data platforms, pipelines and streaming solutions on AWS, Azure and Databricks.
What does a Data Engineering consultant do?
A Data Engineer builds the pipelines and platforms that move data from source systems to the people and models that use it. That includes ingestion, transformation, storage, quality checks and the automation that keeps it all running reliably.
When organizations bring in Data Engineering consultants
Usually when data work has outgrown the current team or platform:
- A data platform needs modernizing or moving to the cloud
- Analytics, ML or generative-AI initiatives are blocked by unreliable data
- Real-time or event-driven use cases need streaming expertise
- A delivery has a deadline and the team needs senior capacity quickly
Roles SwedQ can provide
Consultants are matched to the role and environment rather than to a generic profile.
Senior Data Engineers
Pipelines, ETL/ELT, batch and real-time processing in Python, SQL, Scala and Spark.
Data Architects
Platform design, Lakehouse and data lake architecture, modelling and governance.
Analytics Engineers
Transformation layers, semantic models and tested datasets for reporting and analysis.
Streaming specialists
Kafka and event-driven architectures for real-time data.
Cloud Data Engineers
AWS and Azure data services, including storage, processing and orchestration.
Data Platform and DataOps specialists
Infrastructure as code, CI/CD and observability for data platforms.
Typical technical environments
Our consultants commonly work with:
- Python, SQL, Scala, Spark and PySpark
- Airflow and other orchestration tools
- Databricks, data lakes and Lakehouse architectures
- AWS and Azure data services
- Kafka and event streaming
- Data quality, governance and observability tooling
Embedded specialists or a delivery team
Embedded specialists work inside your team, under your priorities and ways of working. A delivery team takes responsibility for a defined outcome, such as a new pipeline or a platform migration. When you need a broader platform outcome delivered end to end, our Data Platforms offering covers that.
Data quality, governance and AI foundations
Analytics, ML and generative AI depend on data that is documented, tested and governed. Our consultants build quality checks, lineage and access controls into pipelines from the start, so later initiatives do not have to rebuild the foundation.
How consultant matching works
We start with a short conversation about the role, environment and team. We then propose consultants whose verified experience fits, and you meet them before deciding. Availability and start dates are confirmed per assignment.
Frequently asked questions
Do your Data Engineers work on-site in Stockholm?
Yes, on-site, hybrid or remote, depending on what the assignment needs. Most of our consultants are based in the Stockholm area.
What is the difference between Data Engineering consultancy and Data Platforms?
Consultancy provides embedded specialists and delivery teams. Data Platforms is a broader offering where SwedQ delivers platform outcomes end to end.
Can you help with Databricks or Lakehouse architecture?
Yes. Lakehouse architecture, Databricks and cloud data services on AWS and Azure are common parts of our consultants' work.
How quickly can a consultant start?
It depends on the role and current availability. We confirm realistic start dates during matching rather than promising a fixed lead time.
Ready to discuss a next step?
A senior SwedQ specialist reviews every enquiry. Share what you are trying to achieve, and we will suggest a suitable next step.