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Data Engineer, Sourcing BI and Analytics
UPM - The Biofore CompanyData Engineer designing and optimizing data pipelines at UPM, a leader in renewable materials. Collaborating across teams to support data-driven decisions and organizational needs.
Tech Stack
Tools & technologiesAzureCloudPythonSQLVault
About the role
Key responsibilities & impact- Design, build, and optimize robust data pipelines and architectures that empower the organization to make data-driven decisions.
- Translate business requirements into actionable data structures and technical specifications.
- Collaborate in requirements gathering, data architecture, and information architecture.
- Design, create and maintain efficient, scalable, reusable and secure data assets to support business operations and analytics & AI development.
- Develop, test, and maintain data pipelines for seamless integration and transformation of raw data into meaningful insights.
- Continuously optimize data solutions for performance and cost efficiency in cloud environments.
- Implement data quality frameworks and monitoring solutions to ensure data accuracy, consistency, and reliability.
- Implement robust access control measures to safeguard data assets.
- Collaborate with cross-functional teams, including Data Analysts, Data Scientists, and Information Architects, to ensure data usability.
- Actively contribute to team culture, share best practices, and stay updated on emerging trends.
Requirements
What you’ll need- 3+ years of proven experience as a Data Engineer with expertise in data modelling and the ability to design and implement conceptual, logical, and physical data models following best practices
- Solid understanding of modern data warehouse modelling techniques (e.g. Medallion architecture, Data Vault 2.0), and the ability to treat data as a product, ensuring its integrity and usability across the organization
- Expertise in cloud data platforms such as Snowflake, dbt and Microsoft Azure, proficiency in SQL and Python, and experience working with REST API interfaces for integration
- Write clean, efficient, and maintainable code that meets industry standards and best practices. Ensure workflows are clearly documented for collaboration and future reference
- Collaborate effectively with cross-functional teams, including architects, analysts, and business stakeholders to ensure data solutions meet organizational needs
- Enthusiasm for continuous learning, experimentation, and professional growth
- Bachelor’s or master’s degree in Information Systems, Computer Science, Engineering/Economics, Management Science or Mathematics.
Benefits
Comp & perks- A meaningful job: We have an inspiring purpose "We renew the everyday for a future beyond fossils”. Our work is impactful and transformative.
- A caring community: Our community is built on great team spirit and shared commitment. We care about each other and the well-being of our colleagues. We support the work-life balance of all our employees.
- Development opportunities: We offer you great opportunities to learn and grow throughout your career. We are an international, multi-business organization offering plenty of avenues for personal growth.
- Responsible employer: Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas, from climate change mitigation to enhancing biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselves.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata modellingdata pipeline developmentdata architectureSQLPythonREST APIcloud data platformsdata quality frameworksdata integration
Soft Skills
collaborationcommunicationteam culture contributioncontinuous learningproblem-solvingadaptabilityattention to detailcreativitycritical thinkingorganizational skills