Data Engineer

Responsibilities

IT Helpdesk & Corporate Support (~20%)

·       Provide Level 1 IT support for Corporate Office users (~35 users)

·       Manage user provisioning, device setup, access rights, and asset tracking

·       Troubleshoot common issues (M365, endpoints, printers)

·       Escalate complex infrastructure issues to central IT or vendors

·       Maintain structured ticket logs and monthly support reporting

Data Governance & Quality (~20%)

·       Support structured data quality assessments across corporate and plant systems

·       Coordinate with data owners to maintain master data integrity

·       Maintain enterprise data standards, dictionaries, and validation rules

·       Support digitization of manual data capture processes

·       Identify and document systems of record for key operational data

·       Work on digitization of data

Process Automation (~40%)

·       Document and map repetitive/manual processes across plants and corporate functions

·       Identify and prioritize automation opportunities

·       Develop and maintain low-code/RPA workflows

·       Test, deploy, and monitor automation performance

·       Maintain automation inventory and quantify efficiency gains

·       Track and report time savings and error reduction

·       Continuously refine deployed automations

Applied AI / ML Support (~20%)

·       Prepare structured datasets for AI/ML use cases

·       Perform exploratory data analysis (EDA)

·       Manage and maintain ETL/ELT pipelines for centralized data preparation

·       Support development, testing, and monitoring of predictive/prescriptive models

·       Document model performance and improvement opportunities

Qualifications & Skills

Education

·       Degree in Information Systems, Computer Science, Data Analytics, or related field

Technical Skills

·       Working knowledge of SQL, Python or R

·       Familiarity with JavaScript, HTML, CSS (basic level)

·       Experience with Power BI or similar visualization tools

·       Exposure to low-code automation tools (Power Automate, UiPath, etc.)

·       Understanding of data governance and data lifecycle principles

·       Strong documentation discipline

Helpdesk Technical Skills

·       Windows 10/11 troubleshooting

·       Microsoft 365 administration and support

·       Email configuration and troubleshooting

·       End-user device and peripheral support

·       Basic network connectivity troubleshooting

·       User and access management

·       Shared drive and permission management