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Data Engineer

SmartvattenData & Analytics
Hiring from
Finland
Work type
Hybrid
Posted
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Smartvatten is Europe’s leading SaaS platform for data-driven water management, designed for both real estate portfolios and water utilities. Through digital monitoring, analysis and data-driven insights, Smartvatten helps its customers detect deviations early, optimise water use and make better decisions. Today, Smartvatten monitors more than 40,000 buildings, over 200,000 apartments and more than 40 water networks, contributing to more efficient operations, reduced risk and more sustainable water use.

We are now looking for a

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.

We are looking forward to hearing from you! Please, send your application by 22nd of November.

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