Data Engineer - Databricks & Lakehouse Expert (Onsite)

Swedium Global Services AB; Helsinki; On-site; EUR 60,000 - 90,000; Full time

Job summary

Swedium Global in Helsinki is seeking a Data Engineer to design and operate scalable data pipelines on Databricks, driving value from data through a Lakehouse approach. The role requires deep expertise in Spark-based technologies, Python/PySpark, and cloud platforms (AWS/Azure).

You will collaborate with cross-functional teams, mentor stakeholders, and ensure robust data governance and delivery excellence. This is a hands-on, in-person position with opportunities to influence data strategy and

Qualifications

• Strong expertise in Databricks, Genie, Spark, Delta Lake, Unity Catalog and related tools.
• Proficient in Python, PySpark and SQL for ETL/data transformation.
• Experience with DataOps and CI/CD pipelines.
• Cloud knowledge on AWS and Azure; enterprise ITSM experience.
• Excellent communication, leadership, and stakeholder management.

Responsibilities

• Databricks platform service, governance, and technical management.
• Convert business ideas into scalable data solutions.
• Develop scalable, secure Lakehouse-based data solutions.
• Provide best practices and training on Databricks features.
• Guide project delivery, manage scope, remove blockers, ensure quality.
• Stay current with new Databricks features.

Skills

Leadership

Stakeholder management

Communication

Team collaboration

Tools

Databricks

Genie

Apache Spark

Delta Lake

Unity Catalog

DLT

Workflows

SQL Warehouses

Python

PySpark

SQL

DataOps

CI/CD

AWS

Azure

Job description

Swedium Global in Helsinki is seeking a Data Engineer to design and operate scalable data pipelines on Databricks, driving value from data through a Lakehouse approach. The role requires deep expertise in Spark-based technologies, Python/PySpark, and cloud platforms (AWS/Azure).

You will collaborate with cross-functional teams, mentor stakeholders, and ensure robust data governance and delivery excellence. This is a hands-on, in-person position with opportunities to influence data strategy and