Senior Data Engineer, AI-Native Data & Automation

WithSecure; Helsinki; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Flexible work arrangements

Paid sick leave

Well-being benefits

Continuous learning

Job summary

WithSecure, Helsinki-based, is seeking an experienced Data & AI engineer to co-own data products underpinning AI projects. You’ll design and build automations and agentic processes that reduce manual work in business operations, blending domain depth with modern lakehouse engineering and production-grade LLM workflows.

You will join a team that co-develops data products, governance, and pipelines, ensuring reliability, observability, and semantic consistency across AI-enabled solutions, in a

Qualifications

• Several years of working with the domain the data products serve.
• Ability to translate a stakeholder’s half-formed question into a data product without a formal spec.
• Experience with medallion architecture and semantic layers in production.
• Shipped AI agents or LLM workflows in production with evaluation harnesses.

Responsibilities

• Manage data products that AI projects and reporting rely on, ensuring accuracy and production-grade quality.
• Lead AI-native transformation with business teams to replace manual work with automation.
• Run AI agents in production with observability and evaluation harnesses; extend and tune them daily.
• Collaborate as the technical counterpart to the business during discovery and prototyping; automate approved prototypes.
• Keep critical data products fresh and correct during reporting windows and automate recurring packs.
• Support data modeling and pipelines, reviewing work across the domain.

Skills

Business domain depth

Translation skill

Dimensional modeling

AI track record

Software discipline

Tools

Databricks

dbt

Snowflake

MS Fabric

Job description

WithSecure, Helsinki-based, is seeking an experienced Data & AI engineer to co-own data products underpinning AI projects. You’ll design and build automations and agentic processes that reduce manual work in business operations, blending domain depth with modern lakehouse engineering and production-grade LLM workflows.

You will join a team that co-develops data products, governance, and pipelines, ensuring reliability, observability, and semantic consistency across AI-enabled solutions, in a