Azure Data Engineer to Handelsbanken

Handelsbanken; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Handelsbanken is seeking a Cloud Data Engineer in Stockholm to design, build, and operate robust data pipelines on Azure Databricks, enabling scalable analytics across the bank. You will model data for analytics, implement orchestration with Airflow and Azure Data Factory, and ensure data quality and observability as part of a cross-functional data platform team.

The role focuses on data pipeline engineering rather than platform infrastructure, requiring hands-on experience with SQL, PySpark,

Qualifications

• Hands-on experience building and operating data pipelines on Azure Databricks.
• Proficiency with SQL, PySpark and Python for data pipelines and transformations.
• Experience with data governance concepts including Unity Catalog.
• Familiarity with orchestration tools for scheduling and data movement.
• Understanding of CI/CD practices for deploying data pipelines.

Responsibilities

• Design, build, and maintain data pipelines and transformations in Azure Databricks and dbt, contributing to the evolution of our data architecture and engineering practices.
• Model and structure data for analytics, reporting, and downstream applications, delivering well structured data products.
• Orchestrate and schedule data workflows using Databricks, Airflow and Azure Data Factory.
• Ensure data quality, performance, and scalability across the platform, including building data observability capabilities to monitor incoming data.
• Continually optimize and automate routine tasks and procedures, applying CI/CD practices to pipeline deployment.
• Collaborate with software developers, architects, stakeholders, and platform engineers to build a high performing team.

Skills

SQL

PySpark

Python

Azure Databricks

dbt

Airflow

Azure Data Factory

CI/CD

Unity Catalog

Data governance

Tools

Databricks

Airflow

Azure Data Factory

Job description

We are looking for a Cloud Data Engineer to help us build Handelsbanken's future cloud-based Data Platform to meet the bank's future data & analytics needs. You will be part of a good, evolving team, building out one of the bank's most strategic platforms.

Your Team

You will be part of a team of data engineers who are all passionate about building robust and scalable data pipelines. Your team is responsible for building and operating the foundations of the data modeling to enable scalable, reliable, and business-driven analytics on the data platform to enable data engineers from around the bank to build high-performant data pipelines and data products. The team will also be working closely to team within ingestion, data platform and BI and of course, our domains end-user around the bank.

The position is based at our office in central Stockholm.

You role

• Design, build, and maintain data pipelines and transformations in Azure Databricks and dbt, contributing to the evolution of our data architecture and engineering practices.
• Model and structure data for efficient use in analytics, reporting, and downstream applications, delivering well structured, accessible data products.
• Orchestrate and schedule data workflows using Databricks, Airflow and Azure Data Factory.
• Ensure data quality, performance, and scalability across the platform, including building data observability capabilities to monitor incoming data.
• Continually optimize and automate routine tasks and procedures, applying CI/CD practices to pipeline deployment.
• Collaborate closely with software developers, architects, business stakeholders, and platform engineers, actively contributing your knowledge, experience, and personality in team ceremonies (stand ups, backlog refinement, increment planning) and in building a high performing team.

On top of your technical tasks, you will be expected to actively contribute with your knowledge, experience and personality in building a high-performing team.

Your profile

We're looking for someone with a demonstrable, hands on track record building and operating data pipelines on Azure Databricks. This role is focused on data pipeline engineering and development, not platform infrastructure; familiarity with platform concepts is useful but not the focus. You understand Swedish and are willing to improve your skills, or already speak it.

Technical skills:

• Strong hands on experience with SQL, PySpark, and Python for building and optimizing data pipelines and transformations.
• Deep experience with Azure Databricks for developing pipelines, plus dbt for transformation, modeling, and testing.
• Working knowledge of orchestration tools, Airflow and/or Azure Data Factory, for scheduling and data movement.
• Experience with CI/CD practices for automating and deploying data pipelines.
• Understanding of data governance principles (quality, lineage, access management), including experience with Unity Catalog.
• Knowledge or experience with Microsoft Fabric or similar SaaS data platforms is an advantage.

You're proactive and solution oriented, taking ownership of the improvements you identify. You bring a strong service mindset, put the customer first, and naturally share knowledge across team and organizational boundaries, helping foster an open, collaborative work environment.

As part of Handelsbanken’s recruitment process, a background check conducted by an external party is required and must be approved for the final candidate before employment can take place

Contact Details

Recruiting Manager: Marcus Åkerblom, [e-mail]

Talent Acquisition Partner: Alva Jonerot, [e-mail]

Union Representative Finansförbundet: Emma Rydell, [e-mail] or Håkan Brovell, [e-mail]

Union Representative Akademikerföreningen: Bjarne Nilsson, [e-mail]