Senior Data Systems Specialist S011846

Job Title: Senior Data Systems Specialist – 6 month contract, on site full time

Salary: € Negotiable on experience

Location: Co Louth

Ref: S011846

Please note this role is on site full-time

Description of Role:

Our client are a dynamic and successful data company with a specific focus on environmental mapping. They are now seeking a senior data systems specialist /data systems manager on a 6 month contract basis. The role is responsible for managing high priority workflows and maintaining the technical integrity of the data lifecycle, from project bid to delivery. The role will involve managing a small team, managing data pipelines, deploying cloud based solutions, responding to urgent requests. This a hands on role and requires broad exposure to Python, Power BI, AWS, Azure and data governance.

Requirements:

• Min of 10 years+ experience in senior technical data systems management, analytics engineering or data platform role

• Excellent proficiency in Python, SQL, Powershell and Power Query

• Hands-on Power BI experience (including complex measures, dynamic slicers, time-based analysis).

• Strong working knowledge of AWS and Azure

• Experience building and maintaining automated workflows, for structured/unstructured data

• Data governance implementation, QA workflows, and operational reporting.

• Familiarity with sensor logs, geospatial processing or time-series analysis is very advantageous.

• Exposure to ML lifecycle (model integration) advantageous

• Experience working in survey, energy or offshore project environments highly desirable

Key Duties & Responsibilities:

• Maintain and enhance end-to-end data pipelines connecting SharePoint (Excel), Azure SQL, AWS S3, and internal systems.

• Implement and optimize automation via Power Automate, PowerShell, and Python scripts for file handling, syncing, and logging.

• Build robust Power BI dashboards with advanced DAX, measures, and direct query models to support real-time operations, shift analysis, and forecasts.

• Handle versioning, syncing, and validation logic for live vs historical datasets, addressing schema changes and duplication issues.

• Own and improve data availability, data reliability, and shift-based scheduling logic for visualizations and reporting.

• Manage integrations across AWS S3, Azure Data Lake, and SQL environments.

• Lead troubleshooting and remediation of sync failures, permission/auth issues, and log discrepancies across file-based and cloud-based sources.

For more information please send your CV to Hazel Whelan in confidence through the link.

Email: hazel@rplus.ie

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