Lead Expert D&T Data Engineer Research, Innovation & Labs

DSM
Barcelona
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Problem-solving","Collaboration","Curiosity"]

Design and maintain robust data pipelines that enable seamless data integration, transformation, and storage. You’ll build efficient ingestion and pipeline architectures (including ETL when needed), develop modular transformation code, and ensure ongoing maintenance, troubleshooting, and upgrades. Partner with data engineers, data modelers, data stewards, BI developers, data scientists, and domain experts to deliver reliable, high-quality scientific data solutions using modern tools and cloud platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
DSM
DSM
6 months ago

Lead Expert D&T Data Engineer Research, Innovation & Labs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and maintain robust data pipelines that enable seamless data integration, transformation, and storage. You’ll build efficient ingestion and pipeline architectures (including ETL when needed), develop modular transformation code, and ensure ongoing maintenance, troubleshooting, and upgrades. Partner with data engineers, data modelers, data stewards, BI developers, data scientists, and domain experts to deliver reliable, high-quality scientific data solutions using modern tools and cloud platforms.
Location: Barcelona
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid 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 code for data transformation and integration using modern development practices.
  • •Perform data ingestion from source systems (ETL when tables aren’t available) and handle regular pipeline maintenance, upgrades, and troubleshooting.
  • •Implement data quality testing and validation, collaborating with data engineers, modelers, stewards, BI developers, scientists, and SMEs to deliver impactful solutions.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •Expert knowledge in dbt, SQL, Python, Spark, Cypher, Git, and Databricks.
  • •Expertise in cloud engineering (e.g., AWS, Azure), infra-as-code, and deploying CI/CD pipelines (plus).
  • •Experience with graph databases (e.g., Neo4j) and integrating with scientific software applications (plus).
  • •3+ years creating and maintaining data pipelines in the science, innovation, and labs domain for health, nutrition, and beauty.
  • •Experience with FAIR data principles, data governance, and scientific data standards, using best practices in coding, testing, documentation, and automation quality checks.
Experience:3+ yearsScienceInnovationLabsHealthNutritionBeautyCheminformaticsBioinformaticsMicrobiomeFAIR data
Skills:Problem-solvingCollaborationCuriosity
Tech Stack:DbtSQLPythonSparkCypherGitDatabricksAWSAzureInfra-as-codeCI/CDGraph databasesNeo4jETL

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