Data Engineering Consultant: Cloud Pipelines & Modernization

Debageri AB; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Debageri AB is seeking an experienced Data Engineer Consultant to design, build, and optimize scalable data pipelines on GCP, leveraging a DevOps mindset with CI/CD and Terraform. You will collaborate with stakeholders to deliver a forward‑looking data product and lead modernization of BI/DWH platforms across Fabric, Databricks, Snowflake, and Azure.

The role requires strong data modeling skills (Kimball/Data Vault/Star Schema), and experience with migrating legacy data warehouses to cloud

Qualifications

• Minimum 5 years of hands‑on experience as a Data Engineer.
• Proficiency in SQL Server, T‑SQL, and SSIS within traditional Microsoft BI/DWH environments.
• Experience with Google Cloud Platform (GCP) and managing data pipeline architectures.
• Competence in modernization/migration of legacy DWH to cloud‑based data platforms.
• Strong understanding of data modeling techniques including Kimball, Data Vault, and star schema.
• Solid experience with CI/CD, Git, and ability to work closely with architects and BI Developers.
• Documented experience in analyzing ETL processes, data flows, and designing efficient solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines using GCP, while embracing a DevOps mindset to manage CI/CD pipelines and Terraform.
• Collaborate with stakeholders to define and deliver a visionary data product aligned with business goals.
• Lead modernization efforts in BI/DWH projects, transforming legacy systems to advanced data platforms like Fabric, Databricks, Snowflake, and Azure.
• Ensure data products are secure, scalable, and performance-optimized, adopting best practices in data mesh and product design.
• Lead and mentor junior data engineers, fostering a culture of continuous improvement, innovation, and reducing technical debt.

Skills

Data modeling (Kimball/Data Vault/Star

Tools

SQL Server

T‑SQL

SSIS

GCP

Terraform

CI/CD

Git

Databricks

Snowflake

Azure

Fabric

Power BI

Microsoft Purview

DBT

Kubernetes

Apache Spark

Google Cloud Run

Job description

Debageri AB is seeking an experienced Data Engineer Consultant to design, build, and optimize scalable data pipelines on GCP, leveraging a DevOps mindset with CI/CD and Terraform. You will collaborate with stakeholders to deliver a forward‑looking data product and lead modernization of BI/DWH platforms across Fabric, Databricks, Snowflake, and Azure.

The role requires strong data modeling skills (Kimball/Data Vault/Star Schema), and experience with migrating legacy data warehouses to cloud