Lead Expert Data & AI Engineer – Manufacturing

DSM
Spain
Workplace: OnsiteFull timeFunction: Manufacturing & Production OperationsSkills: ["Problem-solving","Collaboration","Leadership","Documentation","Curiosity"]

Design and maintain robust data pipelines for the Manufacturing/Sustainability domain, ensuring seamless data integration, transformation, and storage. Lead technical recommendations, feasibility evaluation, and pipeline architecture decisions while developing modular transformation code and ETL processes. Own pipeline maintenance, upgrades, troubleshooting, and data quality testing/validation. Collaborate with data modelers, stewards, BI developers, data scientists, and SMEs to deliver reliable, scalable data solutions with automated monitoring.

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FursaFursa
DSM
DSM
1 month ago

Lead Expert Data & AI Engineer – Manufacturing

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and maintain robust data pipelines for the Manufacturing/Sustainability domain, ensuring seamless data integration, transformation, and storage. Lead technical recommendations, feasibility evaluation, and pipeline architecture decisions while developing modular transformation code and ETL processes. Own pipeline maintenance, upgrades, troubleshooting, and data quality testing/validation. Collaborate with data modelers, stewards, BI developers, data scientists, and SMEs to deliver reliable, scalable data solutions with automated monitoring.
Location: Spain
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Sr. Manager level

Key Responsibilities

  • •Provide technical recommendations and evaluate project feasibility and workloads.
  • •Design and implement pipeline architectures for data ingestion, transformation, and storage.
  • •Develop modular, efficient code for data transformation and integration with modern development practices.
  • •Perform data ingestion from source systems, including ETL processes when tables are not available on the platform.
  • •Maintain and upgrade pipelines, troubleshoot issues, and implement data quality testing and validation.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •Expert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps, and Databricks.
  • •Expertise in cloud engineering (e.g., AWS, Azure) and experience deploying CI/CD pipelines; infrastructure-as-code is a plus.
  • •5+ years of experience creating and maintaining data pipelines.
  • •Experience applying FAIR data principles, data governance, and scientific data standards.
  • •Strong leadership in team management, project oversight, and stakeholder engagement alongside hands-on technical work.
Experience:Data pipelinesScientific datasetsCheminformaticsBioinformaticsMicrobiomeFAIR dataData governance
Skills:Problem-solvingCollaborationLeadershipDocumentationCuriosity
Tech Stack:DbtSQLPythonSparkPySparkGitAzure DevOpsDatabricksAWSAzureCI/CDInfrastructure-as-codeETL

Company Brief

DSM
DSM-Firmenich is a global leader in food ingredients, nutrition, fragrances and beauty solutions, formed by the merger of DSM and Firmenich to provide sustainable, science-driven products and services across food, health and personal care industries.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2023
WebsiteLinkedIn