Lead Data Product Engineer: Scale Data Platforms & AI

Metso

Lappeenranta

Hybrid

EUR 110,000 - 180,000

Full time

44 hours ago
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Benefits offered by this job

Hybrid work options
Wellbeing programs
Competitive compensation
Learning opportunities
Mentoring

Job summary

Metso seeks a Lead Data Product Engineer to drive enterprise data engineering capabilities, building scalable data products, pipelines and integration solutions. You will provide technical leadership, ensuring reliability, security, and alignment with enterprise objectives across data platforms.

You will mentor engineers and collaborate with data architects, data scientists and product teams to deliver reusable data assets for analytics, digital solutions, and AI. Hybrid options available.

Qualifications

  • Extensive experience designing and operating enterprise-scale data solutions.
  • Strong expertise in data engineering, data integration, and data product development.
  • Experience with cloud data platforms, distributed processing, lakehouse architectures and data warehousing.
  • Proven ability to lead technically complex implementations or initiatives.
  • Strong software engineering practices including source control, reviews, testing and CI/CD.
  • Experience with DataOps, infrastructure-as-code, observability and reliability.
  • Understanding of data quality, metadata, lineage, security and governance requirements.
  • Ability to translate business and architectural requirements into practical solutions and to coach others.
  • Familiarity with platforms such as Microsoft Fabric, Snowflake, Palantir and Databricks is valued.

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.
  • Guide the evolution of enterprise data platforms and scalable data ingestion, transformation, and serving.
  • Establish patterns for batch, streaming, event-driven and AI-enabled workloads for performance and cost efficiency.
  • Embed data quality, metadata, lineage, observability, security, testing, CI/CD and infrastructure-as-code into delivery.
  • Collaborate with Data Architects and delivery teams to translate designs into robust solutions.
  • Review designs, solve complex technical challenges, and support performance and reliability.
  • Coach and mentor technical professionals and foster knowledge sharing.

Skills

Data engineering
Data integration
Cloud platforms
Data products
CI/CD
DataOps
Observability
Leadership
Stakeholder mgmt
Delivery leadership
Microsoft Fabric
Snowflake
Palantir
Databricks

Tools

Microsoft Fabric
Snowflake
Palantir
Databricks

Job description

Metso seeks a Lead Data Product Engineer to drive enterprise data engineering capabilities, building scalable data products, pipelines and integration solutions. You will provide technical leadership, ensuring reliability, security, and alignment with enterprise objectives across data platforms.

You will mentor engineers and collaborate with data architects, data scientists and product teams to deliver reusable data assets for analytics, digital solutions, and AI. Hybrid options available.

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