Senior Azure Data Engineer

Job Title: Senior Azure Data Engineer

Job Type: Contract · Inside IR35

Location: Dublin, Ireland / UK — Hybrid

Duration: 12 months

Ireland or UK but have to be in Dublin for 2 days a week (EBS office Ireland)

Involved in the design, build and integration of data from various sources and the management of the existing Data Ingestion solutions in SQL Server and Azure environments. Also managing the delivery of multiple projects related to the Microsoft Distribution Data Ingestion (SSIS and Azure) on a day-to-day basis, within agreed constraints and the specified tolerances of scope, time, cost and quality.

Your responsibilities:

Understanding business requirements relating to business data sources with the ability to integrate it and/ or transform it effectively in accordance with business needs

The customization and development of Extract Transform and Load routines, modelling, queries, reports and analysis

Support of existing data marts, warehouse process chains and associated models and queries,

Facilitating the follow up meetings and removing obstacles that affect the team

Ensuring the successful delivery of all assigned Data Engineering work on projects. across all ESB business units and their successful deployment to production, including use cases developed by our Data Science & Analytics team,

Implement changes (CR’s) or new developments relating to existing data warehouses

Tracking project status and managing the project teams to mitigate issues and risks

Troubleshooting and resolving issues with any of our SQL Server and Azure data repositories

Your Profile

Essential skills/knowledge/experience: (Up to 10, Avoid repetition)

• Significant experience in Software Development and Agile Methodologies.
• Excellent experience in developing ETL routines, processes and structures.
• Expert in Power Automate, Azure Data Factory, Azure Synapse, MS Fabric ETL development.
• Significant experience in developing Python or PySpark.
• Proven ability to set up Azure Synapse and MS Fabric connectors (On-prem file shares, SFTP, SQL database, HTTP, etc..) in real world enterprise environment.
• Significant experience in Database and Data Storage Platforms including Azure Data Lake.
• Excellent experience in developing ETL routines, processes and structures.
• Extensive knowledge of data modelling techniques and structures.
• Practical experience of developing ETLs for Dimensions and Fact Tables including SCD I and II implementation.
• Excellent experience of deploying solutions in a fast-moving enterprise.
• Ability to validate engineering data and deploy solutions. Experience in incident, change management and transition processes
• Creating data catalogues
• Identifying Critical Data Elements
• Recording data quality business rules
• Carrying our data quality assessments
• Creating data quality assessment scripts & ETLs
• Creating data quality reports
• Designing & implementing Conceptual, Logical, and Physical data models
• Designing & implementing Relational data models with normalization
• Designing & implementing Dimensional Data Models (Dimensions, Facts, SCD I, SCD II, SCD III)
• Designing & implementing Lakehouse and Delta Lake architectures
• Reporting, documentation/writing.
• Excellent Organisational skills.
• Experience with a wide range of IT environments, platforms and applications
• IT Qualification - Degree or equivalent work experience
• Professional certifications e.g. MCSE