Freelance GCP Data Engineers (multiple positions)

• AI Roots is hiring multiple freelance, full-time GCP Data Engineers for long-term assignments focused on Data Warehouse and Platform/ML Data.
• Candidates must have 5+ years in data engineering with strong GCP production experience (BigQuery, Cloud Composer/Airflow, Dataflow, Datastream), SQL and Python skills, Terraform and CI/CD experience, production-grade pipeline expertise, and be fluent in English.
• Assignments are invoiced through your own company, are typically 6–12 months full-time and hybrid in Helsinki/Tampere, require eligibility for a Finnish basic security clearance, and have hourly rates typically 80e/h - 110e/h+ depending on seniority.
• To apply you must submit your CV or LinkedIn profile, your hourly rate, your availability and the focus area you’re interested in via the recruitment system by Monday 2 November.

AI Roots is looking for several experienced freelance data engineers for long-term, full-time assignments in a Google Cloud Platform environment. We’re hiring for two focus areas: Data Warehouse and Platform / ML Data.

About AI Roots

AI Roots is a data and AI consultancy company and part of Sevendos Group, a family of 11 specialized technology companies with 500+ experts across Finland, Germany and Spain. At AI Roots we help Finnish organizations build data platforms and put AI into production. We are a freelancer agency!

Who we’re looking for

You build data models, pipelines and data products on GCP end to end, from requirements to production. You work independently, can justify your technical decisions and communicate clearly with both business stakeholders and technical experts.

Focus area 1: Data Warehouse Data Engineer

You’ll build and maintain data warehouse models and pipelines on GCP.

• [5+] years in data engineering, including production experience on GCP

• Strong experience in data warehouse modelling and a solid understanding of data warehousing principles

• Python and SQL

• GCP: BigQuery, Cloud Composer, Dataflow and Datastream

• Building production-grade data pipelines

• Terraform, CI/CD and Git

• Writing tested, maintainable code

• Using AI coding assistants (e.g. Copilot, Gemini) in your daily work

Focus area 2: Platform / ML Data Engineer

You’ll build and maintain customer-level data products and ML datasets on GCP, working directly with data scientists and business stakeholders.

• 5+ years in data engineering, including 2+ years on GCP in production

• Strong SQL and BigQuery skills: partitioning, cost-aware query design and large historical backfills

• Building datasets for ML: feature tables, point-in-time correctness and train/test splits

• Python and Airflow (Cloud Composer) in production

• Dataflow (Apache Beam) and Vertex AI pipelines, including monitoring and alerting

• Terraform on GCP, and access management through IAM and dataset sharing

• Git-based workflow with code review and CI (GitHub Actions)

Requirements for both roles

• Fluent English

• A proactive, solution-oriented approach

• Eligibility for a security clearance: the assignment requires a [basic] security clearance carried out by the Finnish authorities

Nice to have

• Finnish language skills

Practical details

• Freelance assignments, invoiced through your own company. Hourly rates typically 80e/h - 110e/h+ depending on your seniority
• Full-time and long-term: [6–12 months], with possible extension
• Some assignments start immediately, others flexibly over the coming months
• Location: Hybrid in Helsinki/Tampere

Why freelance with us

We handle the client relationship and sales, so you can focus on the work. You’ll join a community of senior data and cloud experts and a direct line to people who understand what you do.

How to apply and what happens next

Apply through our recruitment system by Monday 2 November. Please include your CV or LinkedIn profile, your hourly rate, your availability and the focus area you’re interested in.

1. We review applications on an ongoing basis and contact suitable candidates for a short call.

2. With your permission, we present your profile to the client during the first week of November.

3. The client interviews shortlisted candidates, and the first assignments start right after.