Data Engineer: Cloud Data Platform & AI-Driven Analytics

Smartvatten

Kokkola

On-site

EUR 60,000 - 90,000

Full time

8 days ago

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Smartvatten is recruiting a Data / Analytics Engineer to join our team in Kokkola or Pori, Finland. You will build and maintain our cloud data platform, ingest data from various sources into BigQuery, and model datasets for reporting and analytics.

You will work with SQL, Python, Dataform, and AI-enabled tooling, collaborate with the tech team, and help shape data solutions that power AI use cases while ensuring data quality and governance across the data landscape.

Qualifications

BSc/B.Eng. completed or ongoing in Computer Science, Data/Software Engineering or a related field — or equivalent demonstrable skills.
Working knowledge of SQL.
Basic programming skills, preferably Python.
Eagerness to learn cloud data technologies, attention to detail, and good communication skills in English.
Readiness to work with AI tools — either existing experience or a genuine willingness to learn. You do not need to have built AI systems; you do need to be interested in where they can be applied.

Responsibilities

Building data pipelines: ingesting data from source systems (e.g. Salesforce, NetSuite, MongoDB-based systems and SaaS APIs) into the BigQuery data warehouse.
Data modeling & transformation: developing SQL transformations in Dataform following our layered (bronze - silver - gold - reporting) medallion architecture.
Reporting datasets: building and maintaining the serve-layer tables and views consumed by Qlik dashboards and other reporting.
Data quality & documentation: writing tests/assertions, validating results, and documenting datasets and KPI definitions.
Collaboration: Work with the technology team and stakeholders to turn reporting and KPI needs into data solutions.
AI in practice: using AI-assisted development in your daily work and building the datasets that make AI and analytics use cases possible — including a governed dataset, free of personal data, that AI tools can query safely.