Data Engineer - Azure ETL, Lakehouse & Cloud Analytics

Capgemini; Helsinki; On-site; EUR 39,000 - 73,000; Full time

Benefits offered by this job

Flexible working hours

Remote working policy

Job summary

Capgemini in Helsinki is seeking a Data Engineer to join our Insights & Data practice. You will design and implement cloud data platforms on a cutting-edge technology stack and work as part of a global network of data experts to deliver scalable analytics and AI services.

Your role emphasizes hands-on data engineering with Azure-based ETL, Databricks, SQL, Python, and data warehousing concepts. The position offers a flexible work policy and strong training and career development opportunities

Qualifications

• Strong hands-on experience as a Data Engineer designing and implementing Azure-based ETL solutions and scalable data pipelines.
• Experience with Databricks and other modern Lakehouse platforms.
• Good hands-on skills with SQL, Python and PySpark.
• Understanding of data warehousing concepts and dimensional modeling.

Responsibilities

• Design and implement cloud data platforms as part of a global network of data experts.
• Work on hands-on implementation or architect data solutions depending on experience.
• Bridge business, data and technology to deliver trusted technical solutions.

Education

Degree in Computer Science or Engineering

Tools

Azure

Databricks

SQL

Python

PySpark

Data warehousing

Git

Jenkins

Azure DevOps

Snowflake

Power BI

Job description

Capgemini in Helsinki is seeking a Data Engineer to join our Insights & Data practice. You will design and implement cloud data platforms on a cutting-edge technology stack and work as part of a global network of data experts to deliver scalable analytics and AI services.

Your role emphasizes hands-on data engineering with Azure-based ETL, Databricks, SQL, Python, and data warehousing concepts. The position offers a flexible work policy and strong training and career development opportunities