Lead Data Product Engineer

Tiivistelmä työpaikkailmoituksesta: You will lead development and continuous improvement of Metso's enterprise data engineering capabilities to deliver scalable, reliable and secure data products for analytics, digital solutions and AI. You will design and implement enterprise-scale data products, pipelines and integration solutions while defining engineering standards and embedding data quality, metadata, observability, security and CI/CD. The role requires extensive experience in data engineering and integration, cloud and lakehouse platforms (e.g., Databricks, Snowflake, Microsoft Fabric), strong software engineering practices, and proven technical leadership and coaching skills. The position sits in Metso’s Data & Analytics organization with preferred locations across Finland, Poland, India, Lithuania, the USA, Brazil and Chile, offers hybrid working, competitive compensation and development opportunities, and has an application deadline of November 15, 2026. Tämä tiivistelmä on luotu tekoälyn avulla. 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 Lead Data Product Engineer to lead the development and continuous improvement of Metso’s enterprise data engineering capabilities, practices and standards. You will provide technical leadership across data products, platforms and integration solutions, helping ensure our engineering solutions are scalable, reliable, secure, and aligned with enterprise architecture and business objectives. This is an opportunity to shape how data engineering is done across Metso and enable high-quality data products for analytics, digital solutions, and AI. The role combines hands-on technical expertise with technical leadership, coaching, and cross-functional collaboration. 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 be part of Metso’s Data & Analytics organization, working closely with Data Architects, Data Engineers, Reporting Engineers, Data Scientists, AI teams, and other Data professionals. Together, we create trusted, reusable, and business-ready data products that enable data-driven decision-making, digitalization, and AI across Metso. You will work in a global matrix environment with business stakeholders, product and platform teams, solution owners, architects, and application teams. What you’ll do Lead the design and implementation of enterprise-scale data products, pipelines, and integration solutions. Define and maintain data engineering standards, frameworks, patterns, and reusable assets that improve quality, consistency, and efficiency. Guide to the evolution of enterprise data platforms and scalable solutions for data ingestion, transformation, orchestration, and serving. Establish engineering patterns for batch, streaming, event-driven and AI-enabled workloads, improving performance, scalability, reliability and cost efficiency. Embed data quality, metadata, lineage, observability, security, automated testing, CI/CD and infrastructure-as-code into engineering delivery. Partner with Data Architects and delivery teams to translate architectural designs into robust, maintainable and production-ready solutions. Review solution designs, resolve complex technical challenges, and support performance optimization and production reliability. Coach and mentor technical professionals, facilitate knowledge sharing and act as trusted technical advisors to product teams and strategic initiatives. What you’ll bring Extensive experience designing, developing and operating enterprise-scale data solutions. Strong expertise in data engineering, data integration, and data product development. Experience with cloud data platforms, distributed data processing, lakehouse architectures, and data warehousing. Proven ability to lead technically complex implementations or engineering init