Lead Data Product Engineer — Scale & Innovate

Metso

Espoo

Hybrid

EUR 90,000 - 140,000

Full time

4 days ago

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Benefits offered by this job

Hybrid work options

Competitive compensation

Job summary

Metso seeks a Lead Data Product Engineer to drive the development and ongoing improvement of enterprise data capabilities. You will provide technical leadership across data products, platforms and integration solutions, ensuring scalable, reliable, secure data products for analytics, digital solutions, and AI.

The role blends hands-on engineering with leadership, coaching, and cross-functional collaboration.

Qualifications

Extensive experience designing, developing and operating enterprise-scale data solutions.
Experience with cloud data platforms, distributed data processing, lakehouse architectures, and data warehousing.
Proven ability to lead technically complex implementations or engineering initiatives.
Strong software engineering practices, including source control, code reviews, automated testing, and CI/CD.
Experience with DataOps, infrastructure-as-code, observability and operational reliability.
Understanding of data quality, metadata, lineage, security and governance requirements.
Ability to translate business and architectural requirements into practical solutions, influence technical decisions, and coach technical professionals.
Strong analytical, problem-solving, collaboration, communication, and stakeholder management skills.

Responsibilities

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 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.