Senior Data Engineer - Databricks & Multi-Cloud Pipelines

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

Job summary

ALTEN Sweden is seeking a Data Engineer with strong Databricks, cloud platforms, and modern data engineering to join a long-term assignment. You will design, build, and optimize scalable data pipelines and cloud-based solutions for Swedish and international clients.

You’ll collaborate with data scientists, analysts, and business teams to translate requirements into technical solutions, ensure data governance and GDPR compliance, and contribute to data architectures across industries such as

Qualifications

• 5+ years of experience as a Data Engineer or similar role.
• Strong SQL skills with advanced querying and optimization.
• Hands-on Databricks experience with Delta Lake, Spark, and cluster management.
• Multi-cloud proficiency in AWS, Azure, or GCP; certifications a plus.
• Programming experience in Python, Scala, or PySpark for data processing.
• Familiarity with Big Data technologies such as Hadoop, Kafka, and Snowflake.
• Data modeling knowledge including dimensional modeling, star schema, and warehouse design.

Responsibilities

• Design, build and manage data pipelines collecting, transforming, and delivering data to cloud or hybrid storage.
• Ensure data accessibility, reliability and performance for analytics and decision making.
• Collaborate with data scientists, analysts and business teams to translate requirements into solutions.
• Implement data governance to meet Swedish and EU regulations (GDPR) and maintain data security.

Skills

Python

Scala

PySpark

SQL

Tools

Databricks

Delta Lake

Spark

Hive/Hadoop

Kafka

Snowflake

AWS

Azure

GCP

Job description

ALTEN Sweden is seeking a Data Engineer with strong Databricks, cloud platforms, and modern data engineering to join a long-term assignment. You will design, build, and optimize scalable data pipelines and cloud-based solutions for Swedish and international clients.

You’ll collaborate with data scientists, analysts, and business teams to translate requirements into technical solutions, ensure data governance and GDPR compliance, and contribute to data architectures across industries such as