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HiQ Finland Tech Stack

Technology consulting firm building AI agents and data platforms

Information Technology & Services Espoo 201–500 employees Founded 1987 Public Company

HiQ Finland is a technology consulting firm founded in 1987 and headquartered in Espoo. The company's tech stack reflects a cloud-first, data-engineering orientation: AWS, Azure, Snowflake, Databricks, and Python dominate, with BigQuery and Apache Spark for analytics workloads. Current project focus centers on generative AI agent development and RAG implementations, while hiring leans heavily toward senior engineers and data specialists—signaling expansion in AI delivery rather than traditional consulting capacity.

Tech Stack 22 technologies

What HiQ Finland Is Building

Challenges

  • Identifying bottlenecks in business processes
  • Bottleneck identification

Active Projects

  • Generative ai agent development
  • Rag solution implementation

Hiring Activity

Accelerating9 roles · 6 in 30d

Department

Engineering
4
Data
3

Seniority

Senior
5
Lead
1
Mid
1
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About HiQ Finland

HiQ Finland operates as a technology consulting firm serving mid-market clients across digital transformation, software development, and data engineering. The company spans 201–500 employees across engineering, data, design, and service disciplines. Specializations include cloud platform migration, data pipeline architecture, mobile solutions, and UX design. As a public company, HiQ maintains a Nordic client base with current hiring activity concentrated in Finland.

HeadquartersEspoo
Company Size201–500 employees
Founded1987
Hiring MarketsFinland

Frequently Asked Questions

What tech stack does HiQ Finland use?

AWS, Azure, Snowflake, Databricks, Apache Spark, Python, PostgreSQL, BigQuery, Power BI, Jira, Jenkins, and Robot Framework form the core. Also uses RAG, GCP, Java, Playwright, and Git.

What is HiQ Finland working on?

Generative AI agent development and RAG solution implementation. Hiring velocity is accelerating and skews toward senior talent, indicating active delivery on AI-driven projects.

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