Data Engineer

Group Services

Metsä Group is a successful forest industry group with roots in the Finnish forest - Our parent company is a cooperative of over 90,000 forest owners. Metsä Group's Group Services employ some 1,000 professionals in finance, IT, sourcing and logistics, HR, technology, business process development, communications, law, and many other fields. Their task is to support Metsä Group and its Business Areas in implementing their strategy. Our specialists' independent work is supported by a strongly networked workplace community.

We welcome people from diverse backgrounds and different stages of life. Metsä has space and opportunities for many kinds of talent, regardless of age, gender, ethnic background, sexual orientation, disability or other characteristics - Metsä is for all. Read more: metsagroup.com/metsaforall.

This recruitment is carried out anonymously.

Metsä Group is looking for a

DATA ENGINEER

to join our Digital & AI function in Espoo, Finland.

What is the job that awaits you?

As a Data Engineer, you will play a key role in building and developing Metsä Group's Azure Databricks-based data platform and AI-ready data foundations. You will design, develop and maintain scalable data pipelines, data models and reusable data products that enable analytics, reporting, AI and other data-driven solutions across Metsä Group.

Data modelling is an essential part of your role. You will transform technical source data into business-ready data products by applying modern data modelling practices and Metsä Group's medallion architecture. You will work across the Raw, Harmonized and Business Layers, ensuring that data is structured, traceable, secure and reusable for different business areas and use cases.

You will work closely with business stakeholders, Data Architects, Information and Solution Architects, Analytics professionals, AI developers and other IT teams. Together, you will translate business concepts and data requirements into maintainable technical solutions and make data accessible, understandable and ready for use.

As part of the Data team, you will contribute to the development of our engineering practices, platform capabilities and development standards, while collaborating with external partners to ensure high-quality deliveries.

This is a permanent position and you will report to Development Manager, Data.

What we are expecting of you?

To succeed in this role, you have solid hands-on experience in data engineering and developing solutions on modern cloud-based data platforms. You have strong practical experience with Azure Databricks and related Azure data technologies and are comfortable taking ownership of data solutions from source ingestion to business-ready data products.

In addition, we expect you to have:

• Strong hands-on experience with Azure Databricks, Azure Data Factory and modern cloud-based data engineering technologies
• Extensive experience designing and implementing business-oriented data models and reusable data products
• Experience applying medallion architecture and developing Raw, Harmonized and Business Layer data solutions
• Experience designing, developing and maintaining reliable and scalable data integration pipelines
• Strong SQL and Python programming skills
• Experience working with structured and unstructured data from multiple internal and external data sources
• Solid understanding of data warehousing, data integration and modern data architecture principles
• Understanding of how AI-ready data foundations and data products are built and governed
• Experience implementing data quality, metadata, lineage, security and access-control requirements in data solutions
• Experience with automated testing, version control, CI/CD and DevOps practices in data engineering
• The ability to document data models, data pipelines, business rules and technical solutions clearly
• Strong collaboration, analytical and problem-solving skills
• The ability to work effectively with business stakeholders, architects, analytics professionals, AI developers and external development partners

The following are considered an advantage:

• Experience with SAP-based data sources
• Experience with real-time, streaming or IoT data solutions
• Familiarity with data governance, metadata management and data quality practices

Most importantly, you are passionate about data and enjoy building high-quality data foundations that enable future analytics and AI capabilities across Metsä Group.

Career in the new era at Metsä Group

An international growth business - build a successful career At Metsä Group. The forest industry is a prime example of the bioeconomy and circular economy, and shows the way to the future. Megatrends such as urbanisation and ris