Data Engineer bei Dunmore International Corp

About Dunmore International Corp:

Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics.  As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions.  Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world’s largest aircraft manufacturers.  Dunmore’s mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems. 

Summary

The Data Engineer will be Dunmore’s founding data team member, responsible for establishing our enterprise data strategy, building foundational infrastructure, and creating the roadmap for a scalable data organization. This role blends technical excellence with business impact, focusing on solutions that improve decision-making and operational efficiency.

With direct support from the IT Director and CFO, the first 3–6 months will be spent building robust data pipelines, integrating key systems (ERP, CRM, manufacturing), and establishing technical and governance standards. You will then progressively deliver high-value analytics initiatives that demonstrate tangible business impact.

This role requires an architect’s vision, an engineer’s skillset, and a builder’s mindset — someone comfortable making foundational technology choices, implementing proven best practices, and scaling a data function from zero to maturity.

Essential Duties and Responsibilities

Data Architecture & Infrastructure

• Design and implement foundational data architecture that will scale with the organization.
• Establish technical standards, naming conventions, and governance processes for all data assets.
• Select and implement a modern data stack (cloud platform, storage, integration tools, orchestration) aligned with long-term goals — platform selection will be determined by this role based on Dunmore's specific needs and requirements.

Pipeline Development & Integration

• Build ETL/ELT pipelines integrating legacy ERP, Salesforce, manufacturing execution systems, and the Microsoft 365 ecosystem.
• Create data ingestion and transformation processes that ensure data is clean, validated, and business-ready.
• Automate repetitive processes, replacing manual data manipulation with scalable engineering solutions.

Data Enablement & Analytics

• Partner with business stakeholders to translate requirements into data solutions that drive measurable value.
• Develop data models that support enterprise reporting and analytics.
• Enable Power BI as the core analytics platform, delivering curated datasets for self-service reporting.

Governance, Quality, & Security

• Implement data governance practices including metadata management, lineage tracking, and access controls.
• Ensure data quality through monitoring, reconciliation, and exception handling processes.
• Define security best practices including encryption, role-based access, and compliance with relevant regulations.

Leadership & Scaling

• Act as technical owner of data architecture decisions.
• Manage and coordinate with third-party consultants for specialized implementations.
• Lead the recruitment and onboarding of additional data team members as the function scales.
• Mentor colleagues and enable self-service capabilities without creating technical debt