
Senior Data Engineer 2025
OpenSky Data Systems
- Naas, Co Kildare
- Permanent
- Full-time
- 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 tools like 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: Adhere to Microsoft best practices and methodologies while implementing data governance and cataloguing solutions using Microsoft Purview ensuring compliance with GDPR, NIS2, and ISO27001 standards.
- BI Reporting & Data Visualization: Create, update, and maintain interactive dashboards and reports using Power BI, SSRS, and Excel to provide actionable insights for business stakeholders.
- Machine Learning: Using machine learning techniques to prepare and analyse data.
- Team Leading: Lead and mentor team members to support their development and ensure successful project delivery
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 3 years of experience in a Senior Data Engineering or a similar role working 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.
- 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). -
- Competitive salary
- Incremental increases in annual leave
- Continuous Professional Development
- Education Assistance Programme
- Digital doctor service
- Hybrid working
- Employee Assistance Programme (EAP)