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SwedQ Tech Stack

Data engineering and software consulting for enterprise transformation

Information Technology & Services Stockholm, Stockholm County 11–50 employees Founded 2015 Privately Held

SwedQ is a Stockholm-based consulting firm focused on data architecture, cloud platforms, and software engineering. The tech stack—Python, Apache Spark, Kafka, dbt, Airflow, and dual-cloud deployment (AWS + Azure + GCP)—reflects a data-engineering-heavy practice. Active adoption of Microsoft Fabric and ongoing data platform transformations across the client base indicate a shift toward managed cloud analytics, while pain points around SQL optimization and end-to-end efficiency suggest clients are wrestling with legacy batch pipelines and manual workflows.

Tech Stack 38 technologies

Core StackPython AWS Apache Spark Redshift AWS Glue MySQL Kafka Terraform Kubernetes dbt Apache Airflow Fivetran Azure Data Factory TypeScript Node.js React React Native Java Hibernate Oracle Docker GCP AWS EMR Kinesis Azure SQL Lakehouse Spring Boot Azure SQL IAM+7 more

Adoptingdbt Microsoft Fabric

What SwedQ Is Building

◆Challenges

Transforming data architecture
Expanding customer network
Recruiting top engineers
Ensuring profitability
Replacing manual or semi-automated processes
Optimizing sql-heavy pipelines
Improving end-to-end data efficiency

▲Active Projects

Proof of concept for new data stack
Data platform transformation
Expanding customer network
Managing consulting assignments
Developing partnerships

Hiring Activity

Accelerating7 roles · 5 in 30d

Department

Data

3

Engineering

3

Sales

1

Seniority

Senior

6

Manager

1

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About SwedQ

SwedQ delivers consulting services in software engineering, data architecture, and analytics across mid-market to enterprise clients in Sweden. The firm specializes in cloud migrations, data platform design, and DevOps implementation, with demonstrated expertise in Apache Spark, Kafka, and dbt-based transformation pipelines. Current engagement areas include proof-of-concept data stacks, data platform modernization, and automation of manual processes. The company operates as a small, senior-heavy team—majority senior engineers and individual contributors with one manager—and is actively hiring across data and engineering roles.

HeadquartersStockholm, Stockholm County

Company Size11–50 employees

Founded2015

Hiring MarketsSweden

Frequently Asked Questions

What tech stack does SwedQ use?

Python, AWS, GCP, Apache Spark, Kafka, dbt, Apache Airflow, Kubernetes, Terraform, and Redshift/Azure SQL for data warehousing. Also adopting Microsoft Fabric.

What is SwedQ working on?

Data platform transformations, proof-of-concept data stacks, customer network expansion, and automation of manual data processes for enterprise clients.