Data Product Engineer

Metso; York (York County); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Purpose-led work

Wellbeing programs

Competitive compensation

Hybrid working options

Growth through learning & mobility

Inclusive culture

Job summary

Metso is seeking a Data Product Engineer to design, build, deploy and operate scalable data products, pipelines and platform capabilities across analytics, digital solutions and AI. You will transform data from multiple enterprise sources into trusted, reusable data assets and contribute throughout the lifecycle in a global industrial organization.

The role sits in Metso’s Data & Analytics and reports to the Director, Data Enablement.

Qualifications

• Experience or demonstrated capability in data engineering, data integration, data products, and pipeline development.
• Practical skills in SQL and Python.
• Experience with cloud-based data platforms, data warehousing, or lakehouse architectures.
• Knowledge of data modelling, transformation design, and integration patterns.
• Experience with CI/CD, DevOps or DataOps practices and secure, maintainable software development.
• Understanding of automated testing, data quality, monitoring, observability, metadata and data lineage.
• Strong troubleshooting and root-cause analysis skills with an analytical and structured approach.
• Ability to collaborate with technical and business stakeholders, communicate clearly and balance technical quality, delivery needs and business value.
• Experience with Microsoft Fabric, Snowflake, Palantir or Databricks is considered valuable.

Responsibilities

• Design, develop and maintain reusable and scalable data products, data models, and end-to-end pipelines for ingestion, transformation, integration, and delivery.
• Contribute to enterprise data platforms and shared services by implementing reusable engineering patterns, frameworks, and automation capabilities.
• Improve scalability, performance, reliability and operational efficiency, and support integration between enterprise systems and analytical platforms.
• Embed data quality, automated testing, validation, monitoring and observability into pipelines and data products.
• Monitor data availability and operational stability, investigate issues, and implement sustainable corrective solutions.
• Apply modern software engineering practices, including source control, code reviews, automated testing, CI/CD, DevOps and DataOps.
• Implement technical governance requirements for metadata, lineage, documentation, access controls, security and compliance.
• Collaborate with architects, analytics and AI teams, business stakeholders and source-system teams throughout solution design and delivery.

Skills

Data engineering

SQL

Python

Cloud data platforms

Data modelling

CI/CD / DataOps

Data quality / observability

Stakeholder collaboration

Fabric / Snowflake / Databricks

Tools

Microsoft Fabric

Snowflake

Palantir

Databricks

Job description

Select how often (in days) to receive an alert:

Primary Location: Espoo, FI Tampere, FI Kraków, PL Vilnius, LT York, PA, US Lappeenranta, FI Vadodara, GJ, IN

Our world depends on rocks, minerals, metals and other raw materials – the building blocks of modern society. As an industry leader, Metso helps transform these essential materials to enable sustainable modern life.

Our solutions and services support everything from renewable energy and electrification to the infrastructure and digital economy shaping our future. Together, we help our customers meet growing demand while driving the industry toward a more sustainable use of the earth’s natural resources.

Join nearly 18,000 Metsonites worldwide, each bringing unique expertise and experience to positive change. At Metso, you’re supported by a growth culture built on safety, wellbeing, inclusion and collaboration.

This is your opportunity to make an impact and rise above the possible.

Job posting end date:11/15/2026

Introduction

We are looking for a Data Product Engineer to design, build, deploy and operate scalable data products, pipelines and platform capabilities that enable analytics, digital solutions and AI across Metso. You will transform data from multiple enterprise source systems into trusted, reusable and business-ready data assets, contributing throughout the data product lifecycle from design and implementation to deployment, monitoring and continuous improvement. This is an opportunity to use modern engineering practices and enterprise data platforms while solving practical business challenges in a global industrial organization.

The position is part of Metso’s Data & Analytics organization and reports to the Director, Data Enablement. The preferred locations for this position are some of Metso’s biggest locations: Espoo, Tampere or Lappeenranta, Finland; Krakow, Poland; Vadodara, India; Vilnius, Lithuania; York, USA; Sorocaba, Brazil; or Santiago, Chile. We are happy to offer flexible working arrangements, including hybrid options.

Team you’ll belong to

You will join Metso’s data engineering community and work closely with Data Architects, Data Engineers, Analytics Engineers, Data Scientists, AI teams and Data Enablement professionals. Together, we create reliable and reusable data products that support reporting, advanced analytics, digital products, and AI.

You will collaborate with business stakeholders, application teams, enterprise architecture, platform, integration, infrastructure, and cybersecurity teams to deliver fit-for-purpose solutions.

What you’ll do

• Design, develop and maintain reusable and scalable data products, data models, and end-to-end pipelines for ingestion, transformation, integration, and delivery.
• Contribute to enterprise data platforms and shared services by implementing reusable engineering patterns, frameworks, and automation capabilities.
• Improve scalability, performance, reliability and operational efficiency, and support integration between enterprise systems and analytical platforms.
• Embed data quality, automated testing, validation, monitoring and observability into pipelines and data products.
• Monitor data availability and operational stability, investigate issues, and implement sustainable corrective solutions.
• Apply modern software engineering practices, including source control, code reviews, automated testing, CI/CD, DevOps and DataOps.
• Implement technical governance requirements for metadata, lineage, documentation, access controls, security and compliance.
• Collaborate with architects, analytics and AI teams, business stakeholders and source-system teams throughout solution design and delivery.

What you’ll bring

• Experience or demonstrated capability in data engineering, data integration, data products, and pipeline development.
• Practical skills in SQL and Python.
• Experience with cloud-based data platforms, data warehousing, or lakehouse architectures.
• Knowledge of data modelling, transformation design, and integration patterns.
• Experience with CI/CD, DevOps or DataOps practices and secure, maintainable software development.
• Understanding of automated testing, data quality, monitoring, observability, metadata and data lineage.
• Strong troubleshooting and root-cause analysis skills with an analytical and structured approach.
• Ability to collaborate with technical and business stakeholders, communicate clearly and balance technical quality, delivery needs and business value.
• Experience with Microsoft Fabric, Snowflake, Palantir or Databricks is considered valuable. You bring a strong engineering discipline, quality and product mindset, and continuous improvement orientation.

We support your growth and wellbeing by offering:

• Purpose-led work: Contribute to enabling sustainable modern life and transforming the industry.
• Wellbeing: Access to wellbeing programs, occupational healthcare, and supportive services.
• Rewards: Competitive compensation and performance-based incentives.
• Flexibility: Hybrid working options to support balance and productivity.
• Growth: Learning pathways, mentoring, internal mobility, and global collaboration opportunities.
• Culture: A caring, collaborative, and inclusive workplace committed to helping you thrive.

Get in touch

For additional information, please contact Marika Uimonen, Director, Data Enablement, [phone] or marika.uimonen(a)metso.com .You can reach Marika at the following times: October 15 between 9–10 am, October 19 between 3–4 pm, October 23 between 9–10 am, October 30 between 3–4 pm and November 6 between 3-4pm.

We recognize that highly capable candidates may hesitate to apply unless they meet every listed requirement. If this role excites you, we encourage you to apply even if your experience does not align perfectly with every qualification. You may be exactly the right candidate for the role.

Metso is committed to pay equity and transparent reward practices globally. Compensation information is shared in line with local legislation and applicable recruitment practices.

Metso is an equal opportunity employer committed to fostering an inclusive and diverse workforce culture. All qualified applicants will receive consideration for employment without regard to race, religion, color, nationality, gender, gender identity, sexual orientation, age, status as a protected veteran or status as a qualified individual with a disability.

Metso is a frontrunner in sustainable technologies, end-to-end solutions and services for the aggregates, minerals processing and metals refining industries globally. We improve our customers’ energy and water efficiency, increase their productivity, and reduce environmental risks with our product and service expertise. We are the partner for positive change.

Metso is headquartered in Espoo, Finland. At the end of 2025 Metso had close to 18,000 employees in around 50 countries, and sales in 2025 were about EUR 5.3 billion. Metso is listed on the Nasdaq Helsinki.