Data Engineer

HCL Technologies Limited; Göteborgs kommun; On-site; SEK 700,000 - 1,100,000; Full time

Job summary

HCL Technologies Limited in Gothenburg, Sweden is seeking a senior data engineer who can translate business needs into scalable data solutions. The role requires hands-on data pipelines, Databricks, and Azure components, with focus on collaboration across teams and project multitasking.

You will design and implement data models, optimize ETL processes, and mentor others while working on-site in our Gothenburg offices.

Qualifications

• Good data engineering background – 5 years of experience.
• Solely implemented data engineering pipelines for data processing, data transformation.
• Set up Azure DevOps in project from start till end, with strong focus on configurations, setting up pipelines, releases, deployments, hotfixes.
• Actively engaged in Databricks Environment.
• Coding skills in SQL, python, pyspark, Scripts.
• Working experience with Azure Data Factory, Databricks Workflows, Clusters.
• Fabric knowledge and JSON ingestion.
• Have worked in different BI projects with good data modeling background – 3 years of experience in BI projects: good business understanding, data modeling.
• Working experience with Git, DevOps.
• Active collaborator, should be transparent and have to have to good engagement with team.
• Experience to handle multiple projects in parallel.
• Good team player and good communication skills.
• Able to work on-site in our offices in Gothenburg.

Responsibilities

• Translate business stakeholder needs into technical data solutions.
• Solely implemented and managed end-to-end data pipelines for processing and transformation.
• Set up and manage Azure DevOps configurations, pipelines, releases and deployments.
• Engage with the Databricks environment to develop and optimize workflows.
• Collaborate with BI teams on data modeling and storytelling from data.
• Work on multiple projects in parallel while communicating progress clearly.

Skills

Data engineering

SQL

Python

PySpark

Databricks

Azure DevOps

ETL pipelines

Data modeling

Git

DevOps

Stakeholder communication

Team collaboration

Multitasking

Tools

Azure Data Factory

Databricks Workflows

Databricks Clusters

Fabric

JSON ingestion

Job description

We are looking for a senior data engineer

This person should be able to understand business stakeholders and translate their needs into technical solutions.

Must have

• Good data engineering background – 5 years of experience
• Solely implemented data engineering pipelines for data processing, data transformation
• Set up Azure DevOps in project from start till end, with strong focus on configurations, setting up pipelines, releases, deployments, hotfixes
• Actively engaged in Databricks Environment
• Coding skills in SQL, python, pyspark, Scripts
• Working experience with Azure Data Factory, Databricks Workflows, Clusters
• Fabric knowledge and JSON ingestion
• Have worked in different BI projects with good data modeling background – 3 years of experience in BI projects: good business understanding, data modeling
• Working experience with Git, DevOps
• Active collaborator, should be transparent and have to have to good engagement with team
• Experience to handle multiple projects in parallel
• Good team player and good communication skills
• Able to work on-site in our offices in Gothenburg

Good to have

• Be able to upskill the team with hand-on sessions.