Data Product Engineer – Hybrid & Impactful Analytics

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

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.