Data Engineer

We are seeking a skilled and proactive Data Engineer to design, build, and maintain scalable data pipelines and analytical models that enable real-time business insights across manufacturing, supply chain, and operational functions. This role bridges technology and business by ensuring that accurate, reliable data supports decision-making, automation, and continuous improvement initiatives.

Key Responsibilities

Data Management & Engineering

• Design, build, and maintain robust ETL/ELT pipelines to consolidate data from multiple systems (ERP, MES, PLM, Planning, etc.).

• Ensure data quality, consistency, and reliability across all stages of the data lifecycle.

• Develop and optimize data models and analytical datasets to support both BI and advanced analytics use cases.

• Collaborate with system owners and IT teams to define data capture, transformation, and extraction requirements.

Analytics & Business Intelligence

• Develop BI reports, dashboards, and interactive analytics in Power BI, Tableau, or equivalent tools.

• Translate business requirements into technical data models and KPIs aligned with operational excellence goals.

• Support functional teams (Planning, Production, Quality, Engineering, etc.) with insights to identify performance gaps and improvement opportunities.

• Perform validation and user acceptance testing to ensure data accuracy and usability.

Collaboration & Stakeholder Engagement

• Partner with business units to drive data-driven decision-making and enhance overall data literacy.

• Coach and empower users to create self-service dashboards and reports.

• Monitor system performance, address BI and data issues, and recommend system or process enhancements.

Performance & Continuous Improvement

• Track and report on key performance metrics for data reliability and reporting timeliness.

• Identify and implement process improvements to enhance data flow, automation, and scalability.

• Share best practices in data governance, dashboard design, and digital scheduling analytics.

Qualifications

• Bachelor’s degree or higher in Computer Science, Information Systems, Data Engineering, or related field.

• Experience in manufacturing or supply chain environments preferred.

• Proficiency in SQL, data modeling, and ETL/ELT pipeline design (e.g., Azure Data Factory, SSIS, Python).

• Familiarity with ERP systems (e.g., Microsoft Dynamics AX) and production planning tools.

• Experience with Power BI, Tableau, or similar BI tools.

• Strong analytical, problem-solving, and communication skills.

• Ability to collaborate with both business and technical teams in a fast-paced, data-centric environment.

Bonus Skills (Preferred)

• Strong command of English communication (verbal and written).

• Hands-on experience with AI agentic models, machine learning, and predictive analytics (e.g., Python ML libraries, Azure AI, or similar frameworks).

• Knowledge of Robotic Process Automation (RPA) platforms (e.g., UiPath, Power Automate) for workflow optimization.

• Familiarity with Vibe coding and agile scripting environments for data transformation and automation.

• Experience with data warehouse design and cloud data platforms (Azure Synapse, Snowflake, or Microsoft Fabric).

• Knowledge of API integrations, automation frameworks, and data-driven decision systems.