Senior Data Engineer: Azure, Databricks & BI Pipelines

HCLTech; Göteborgs kommun; On-site; SEK 700,000 - 950,000; Full time

Job summary

HCLTech in Gothenburg is seeking a senior data engineer who can translate business needs into technical solutions and own end-to-end data pipelines for scalable data platforms.

The candidate will work with stakeholders, implement pipelines using SQL, Python and PySpark, and collaborate across teams. On-site work in Gothenburg is required, with strong emphasis on DevOps, Databricks, and data modeling.

Qualifications

• 5 years of data engineering experience.
• Experience implementing data pipelines for data processing and transformation.
• Setup and management of Azure DevOps pipelines, releases, and deployments.
• Active engagement with Databricks environments and related workflows.
• Strong coding skills in SQL, Python, and PySpark.
• Experience with Azure Data Factory, Databricks Workflows, and Clusters.
• Fabric knowledge and JSON ingestion experience.
• Experience in BI projects with data modeling background (3 years).
• Proficient with Git and DevOps practices.
• Able to work on-site in Gothenburg offices.
• Strong teamwork and communication.

Skills

Team collaboration

Communication

Project multitasking

Business stakeholder translation

Problem solving

Tools

Azure DevOps

Azure Data Factory

Databricks

Databricks Workflows

Databricks Clusters

Git

JSON ingestion

Job description

HCLTech in Gothenburg is seeking a senior data engineer who can translate business needs into technical solutions and own end-to-end data pipelines for scalable data platforms.

The candidate will work with stakeholders, implement pipelines using SQL, Python and PySpark, and collaborate across teams. On-site work in Gothenburg is required, with strong emphasis on DevOps, Databricks, and data modeling.