Senior Data Engineer, Data Platforms

Overview

We are seeking an experienced and results-driven professional to join Valmet’s Data Platforms Team as a Data Engineer (2 position). In this role, you will play a key part in delivering and executing data-driven development and services that support global data and analytics initiatives.

The ideal candidate brings 5-10 years of proven expertise in data platforms, data modelling, and data architecture principles, including data lakes, data warehouses, metadata management, and governance. You should have hands-on experience in designing, building, and maintaining scalable, reliable data pipelines for collecting, transforming, and loading (ETL) data from diverse sources into storage systems. Additionally, you will be expected to optimize pipelines for performance, scalability, and cost efficiency.

Areas of responsibility

• Execution of data and analytics initiatives development and services.
• Align deliveries with architectural guidelines and ensure quality in delivery projects.
• Support external AMS team in major incidents and recurring issues.
• Support root cause analysis and implementation of long-term fixes.
  
  

• Bachelor’s or higher degree in Computer Science, Engineering, or related field.
• Solid understanding of data and analytics platforms, data modelling, and data architecture principles (data lake, data warehouse, metadata, governance).
• Proven experience in Microsoft Fabric or similar data and analytics platforms.
• Experience in Microsoft Azure services, including data platform related technologies.
• Knowledge of data integration tools and techniques for ingesting and processing data from diverse sources.
• Excellent communication and interpersonal skills to facilitate effective collaboration with diverse teams.
  
  

• Fluent spoken and written English language
• Familiarity with Western business practices and work culture will be added advantage.
• Translate business requirements into data models
• Define data products and SLAs
• Metadata-driven discovery and self-service analytics
• Collaboration with data scientists, analysts, and governance teams
• Technical, business, and operational metadata
• Data lineage (column-level, table-level)
• Data classification & tagging
  
  

If this opportunity sounds like a fit for you please send your application via Valmet career page.

When everything works together

Valmet is where the best talent from a wide variety of backgrounds comes together. With over 19,000 professionals around the world, we are the leading global developer and supplier of technologies, automation and services for the pulp, paper and energy industries, and serve an even wider base of process industries with our automation systems and flow control solutions. Our commitment to moving our customers’ performance forward requires creativity, technological innovations, service know-how – and above all, teamwork.

Join the team! www.valmet.com/careersna