Data Engineer

Smartvatten; Pori; On-site; EUR 52,000 - 76,000; Full time

Job summary

Smartvatten is looking for a Data Engineer to join our team in Kokkola or Pori. You will build and maintain our cloud data platform, ingest data from varied sources into BigQuery, model it into reliable datasets, and serve it to Qlik and other consumers.

You will work with AI-enabled development, practice data quality, and collaborate with the technology team to deliver KPI-focused insights for sustainability and water conservation initiatives.

Qualifications

• BSc/BEng completed or ongoing in Computer Science, Data/Software Engineering or related field, or equivalent skills.
• Working knowledge of SQL.
• Basic programming skills, preferably Python.
• Eagerness to learn cloud data technologies, attention to detail, and good English communication.
• Readiness to work with AI tools and apply them where appropriate.

Responsibilities

• Building data pipelines: ingest data from source systems into the BigQuery data warehouse.
• Data modeling & transformation: develop SQL transformations following a medallion-like architecture.
• Reporting datasets: build serve-layer tables/views for dashboards and reporting.
• Data quality & documentation: write tests, validate results, and document datasets and KPI definitions.
• Collaboration: work with tech teams and stakeholders to turn reporting needs into data solutions.
• AI in practice: use AI-assisted development and build datasets for AI/analytics use cases.

Skills

SQL

Python

English proficiency

Willingness to learn cloud data tech

Education

BSc/B.Eng in Computer Science or related field

Tools

BigQuery

Dataform

Git

Terraform

MongoDB

NoSQL

Job description

Data Engineer

to join our team in Kokkola or Pori

About the role:

As a Data / Analytics Engineer you help build and maintain Smartvatten's cloud data platform. You bring data from various source systems into our Google Cloud / BigQuery data warehouse, model it into reliable, reusable datasets, and serve it to reporting (Qlik) and other consumers. We develop with AI as an everyday tool rather than a side project, and the warehouse you build is also the foundation the company's AI and analytics use cases are built on.

Key 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.

Skills and competences needed in this role:

Required / core

• 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.

Technologies you will work with (prior experience is a strong plus, not required)

• Google Cloud Platform, especially BigQuery — our central data warehouse.
• The functions our data warehouse relies on: SQL-based data modeling, scheduled ingestion pipelines, and version-controlled transformations (Dataform, Git).
• Data ingestion / ETL pipelines (e.g. Apache Beam / Dataflow), incl. reading from MongoDB / NoSQL sources.
• Infrastructure as code (Terraform).

Considered an advantage

• Qlik (Qlik Cloud / Qlik Sense) or other BI / data visualization tools.

Why Smartvatten?

Positive Impact:

Be part of an innovative company making a real impact on sustainability and water conservation. We are passionate about devoting our talent and efforts to drive for a more sustainable future.

Innovative Environment

Work with talented, passionate professionals in a forward-thinking company that values creativity and progress. We understand the power of positive energy and praise our co-workers for a job well done.

Diversity and Inclusion

Collaborate with a team that celebrates diverse ideas and perspectives. We value our differences, treat everyone fairly, and encourage people to openly share their opinions.

Professional Growth:

Explore opportunities for personal and career development. We hire the best talent who shares our continuous development mindset.