Senior Data Platform Engineer - AI-Driven Analytics

F-Secure

Helsinki

Hybrid

EUR 61,000 - 73,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work options
Competitive salary and benefits

Job summary

F-Secure is seeking Senior Data Engineers to own a broad slice of the Enterprise Data Platform in Helsinki. You will model data in Data Vault 2.0, build inbound/outbound APIs, and shape Power BI semantic models used across reporting, analytics and AI agents.

The role involves migration work from Snowflake to Databricks and Azure to AWS, with AI-native development becoming the default workflow. You will collaborate with Finance, Sales and Customer Service stakeholders, ensure secure data

Qualifications

  • Minimum 3 years' hands-on data engineering/analytics experience in cloud platforms.
  • Strong Data Vault 2.0 and star schema modelling skills.
  • Excellent SQL performance-oriented skills.
  • Experience designing APIs & integrations with REST/OAuth and Power BI semantic models.
  • Fluency in English.

Responsibilities

  • Design and build the Data Vault 2.0 layer (hubs, links, satellites, keys, loading) and contribute to the publish layer.
  • Design, implement and secure inbound/outbound APIs and ingestion from source systems into the data lake.
  • Develop semantic views and curated data products powering Power BI reporting and AI agents.
  • Monitor data quality and reconcile against sources; troubleshoot data issues.
  • Manage access/grants for data products following least-privilege principles.
  • Utilize AI coding agents as part of development workflow with critical review.

Skills

Data Vault 2.0
SQL skills
Power BI
APIs & Integrations
AI coding agents
English fluent

Tools

Databricks
Snowflake
Azure
AWS
Terraform
GitHub

Job description

F-Secure is seeking Senior Data Engineers to own a broad slice of the Enterprise Data Platform in Helsinki. You will model data in Data Vault 2.0, build inbound/outbound APIs, and shape Power BI semantic models used across reporting, analytics and AI agents.

The role involves migration work from Snowflake to Databricks and Azure to AWS, with AI-native development becoming the default workflow. You will collaborate with Finance, Sales and Customer Service stakeholders, ensure secure data

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