Data Engineer – Sourcing BI & Analytics (Cloud, Pipelines)

UPM; Helsinki; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Meaningful work

Caring community

Development opportunities

Sustainability focus

Job summary

UPM in Finland is seeking a Data Engineer to join the Sourcing BI and Analytics team, located in Tampere or Helsinki. You will design, build, and optimize robust data pipelines and architectures to enable data-driven decisions across the organization.

You will translate business needs into data structures, collaborate with Analysts and Data Scientists, and ensure data quality, security, and accessibility while working in an international environment.

Qualifications

• 3+ years of proven Data Engineer experience and data modelling expertise.
• Bachelor’s or Master’s degree in Information Systems, CS, Engineering/Economics, Management Science or Mathematics.
• Strong understanding of modern data warehouse modelling techniques (Medallion, Data Vault 2.0) and data as a product.
• Experience with Snowflake, dbt, and Microsoft Azure; SQL and Python; REST APIs for integration.
• Code should be clean, maintainable and documented for collaboration.

Responsibilities

• Design, build and optimize robust data pipelines and architectures for data-driven decisions.
• Translate business requirements into actionable data structures and specifications.
• Develop, test and maintain data pipelines for integration and transformation of raw data.
• Optimize data solutions for performance and cost in cloud environments.
• Implement data quality and access control frameworks.

Skills

Data modelling

SQL

Python

REST APIs

Snowflake

dbt

Azure

Data architecture

Education

BSc/MSc IT

Tools

Snowflake

dbt

Azure

Job description

UPM in Finland is seeking a Data Engineer to join the Sourcing BI and Analytics team, located in Tampere or Helsinki. You will design, build, and optimize robust data pipelines and architectures to enable data-driven decisions across the organization.

You will translate business needs into data structures, collaborate with Analysts and Data Scientists, and ensure data quality, security, and accessibility while working in an international environment.