Strategic Data Innovator

16 hours ago

Naas, Co Kildare, Ireland beBeeData Full time €90,000 - €105,000

Senior Data Engineer 2025 role at a leading data systems company.

Location: Hybrid. This is a full-time hybrid position in the Data & AI Practice.

Overview

You will be working on the latest Microsoft Data & AI technologies as part of an innovative team, collaborating closely with Microsoft to ensure staff and clients use the best and most modern technology stacks.

Responsibilities
  • Client Consultation: Provide expert consultation services to clients regarding data engineering strategies. Offer innovative solutions by thinking creatively and outside the box.
  • Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Microsoft Azure Synapse Analytics and Microsoft Fabric.
  • Database Systems & ETL: Build, maintain, and optimize database systems and ETL pipelines using Azure Data Factory (ADF) and SQL Server Integration Services (SSIS).
  • Data Warehousing: Design and maintain star schema data models, reusable pipelines, and warehouse objects.
  • Data Quality & MDM: Implement master data management solutions and apply best practices for data profiling, cleansing, and standardization.
  • DevOps & CI/CD: Use Azure DevOps, GitHub, and CI/CD workflows to manage deployments.
  • Data Governance: Implement data governance and cataloguing solutions using Microsoft Purview ensuring GDPR, NIS2, and ISO27001 standards.
  • BI Reporting & Data Visualization: Create, update, and maintain dashboards and reports using Power BI, SSRS, and Excel for actionable insights.
  • Machine Learning: Apply machine learning techniques to prepare and analyze data.
  • Team Leading: Lead and mentor team members to support their development and ensure successful project delivery.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Minimum of 3 years of experience in a Senior Data Engineering or similar role with Azure Synapse Analytics for data ingestion, ETL/ELT workloads, and data integration in real-world projects.
  • Strong experience in client engagement, acting as a technical advisor, providing insights and recommendations.
  • Proven ability to manage multiple projects and meet deadlines, while working as part of a team.
  • Strong problem-solving skills and attention to detail with excellent communication skills with both technical and non-technical teams.
  • Strong understanding of AI and machine learning concepts, with exposure to applying AI techniques to data projects or understanding their potential impact.
  • Expertise in data wrangling and data preparation tools and techniques.
  • Proficiency in Microsoft SQL Server and T-SQL scripting.
  • Creative thinker with the ability to innovate and provide strategic solutions as part of a team.
Desirable Skills
  • Experience in team leading and mentorship.
  • Microsoft Certifications: Azure AI Engineer Associate, Power BI Data Analyst Associate.
  • Expertise in Microsoft Purview & Microsoft Cloud Adoption Framework.
  • Knowledge of Azure AI services.
  • Expertise in Microsoft Azure Synapse Analytics, and Power BI.
  • Proficient in Azure DevOps, GitHub, and CI/CD processes.
  • Advanced knowledge of Azure Data Factory, SSIS, and Azure Data Storage (Blobs, Files, Queues, Tables, Disks, Data Lake Storage).
What We Offer
  • Competitive salary.
  • Incremental increases in annual leave.
  • Continuous Professional Development.
  • Education Assistance Programme.
  • Digital doctor service.
  • Hybrid working.
  • Employee Assistance Programme (EAP).
Additional Details
  • Seniority level: Not Applicable.
  • Employment type: Full-time.
  • Job function: Information Technology.
  • Industries: IT Services and IT Consulting.

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