
Deadline Oct 25
Last seen Oct 3
Posted Oct 2 · 2 days ago
Open 2 days. This role usually stays open about 22 days
Data Engineer
Senior Data Engineer at Finago in Espoo; hybrid role building data platform for ML products.
At Finago, we’re setting a new standard for financial & human resources software across the Nordics. Our mission? To become the most customer-centric business software company out there! We’re now looking for a Senior Data Engineer who wants to take ownership of the data platform that powers our machine learning products and help shape the next generation of our product. Your mission? *** Your key tasks and responsibilities include: Owning and developing our Databricks lakehouse platform, from architecture to day-to-day operations Rolling out the platform across our ML products and supporting teams as they move their data and model development onto it Designing and building robust, scalable data pipelines and data models Building the backend and data solutions behind the new user interface of our accounting prediction system Strengthening data quality, governance, security, and compliance as the platform grows Automating data operations through DevOps and MLOps practices, CI/CD, and infrastructure-as-code Translating business and product needs into practical technical solutions together with product, engineering, and business teams This is a full-time and permanent position reporting directly to the Head of Product, AI and Data. You’ll join a friendly team of around 15 AI Engineers, Data Scientists, and Developers who enjoy solving real problems and sharing knowledge. Our team works in a hybrid way visiting the Espoo office at least once a week, so we hope to see you there as well! Please note: To ensure compliant and secure processing of personal data, we don’t accept or process any applications via email. All applications must be submitted through our recruitment portal. This role isn’t tied to specific technologies, but we want you to know the tools you’ll encounter: Databricks for our lakehouse, pipelines, ML workflows, and data governance Python and PySpark for data engineering SQL for data modelling and transformations REST APIs for serving AI and predictions to our products Azure for cloud infrastructure and operations GitHub for collaboration and CI/CD Terraform for infrastructure-as-code Docker for containerised workloads
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Estimated from 1,228 comparable listings
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| senior roles | €4,500 per month | €6,500 per month | €9,129 per month |
| This offer | €4,096 per month | €4,505 per month | €4,913 per month |
- Own and develop Databricks lakehouse
- Roll out platform across ML products
- Design robust data pipelines and models
- Build backend and data solutions for UI of accounting prediction system
- Strengthen data quality, governance, security, compliance
- Automate data operations with DevOps/MLOps CI/CD IaC
- Translate business needs into technical solutions
- Databricks
- Python
- PySpark
- SQL
- REST APIs
- Azure
- GitHub
- Terraform
- Docker
| Location | Active listings |
|---|---|
| Espoo, Finland | 2 |
| Tampere, Finland | 1 |
| Role type | Active listings |
|---|---|
| System Specialist | 1 |
| Data Engineer | 1 |
| AI Capability & Platform Owner | 1 |
| Role level | Active listings |
|---|---|
| Senior | 1 |
| Manager | 1 |
| Mid-Level | 1 |
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