Senior Support Developer - Azure Data Factory | Databricks | Power BI
Key Skills for This Role
Full Job Posting
What You’ll Bring
- Senior-Level Troubleshooting: An analytical mindset with a proven track record of diagnosing complex data failures, managing process dependencies, and restoring critical services swiftly.
- Hybrid Landscape Navigability: Comfortable balancing immediate legacy SQL Server support with rapid scaling into modern cloud architectures.
- Workflow & Batch Automation: Hands-on experience with job scheduling (e.g. ActiveBatch), dependency management, and batch script execution to keep scheduled data processes running seamlessly.
- AI & Modern Automation: Practical experience using AI tools and smart automation to speed up troubleshooting, simplify routine tasks, and eliminate repetitive manual work.
- Growth Mindset & Ownership Culture: A positive, resilient, and proactive attitude combining a genuine curiosity for emerging technologies with a strong sense of accountability, mutual trust, and a passion for fostering an inclusive, knowledge-sharing environment.
- Collaborative Leadership: A proactive, adaptable team player who thrives in fast-paced product teams, communicates complex technical concepts clearly, and enjoys mentoring others.
- Technical Skills & Experience
- Data Integration & ETL: Proven capability in building and supporting data pipelines using Azure Data Factory (ADF), SSIS, and API integrations.
- Data Platforms & Engineering: Hands-on experience with Azure Data Lake, Databricks, and Microsoft Fabric.
- Job Scheduling: Deep working knowledge of ActiveBatch (or equivalent enterprise scheduling tools) and batch automation.
- Programming & Databases: Proficiency in SQL and Python; expertise in MS SQL Server, advanced querying, performance tuning, and data validation.
- ITSM & Support: Solid grounding in ITIL principles (Incident, Problem, Change Management) using ServiceNow.
- Desirable:
- Practical experience with PySpark, Delta Lake, or Dimensional Modelling/Data Warehousing principles.
- Familiarity with SQL Server SSAS Tabular, DAX, or Azure Event Hubs.
- A strong interest or practical exposure to Generative AI, AI agents, or ML-driven automation for enterprise data pipelines.
- Reporting & Analytics: Proficiency in Power BI; familiarity with SSRS or equivalent enterprise reporting environments.
- Familiarity with ActiveBatch job scheduling, workflow design, automation, dependency management, and job monitoring, with an interest in exploring its advanced features and capabilities.
- #LI-LE1 #LI-Hybrid
About Next plc
Multinational clothing, footwear, and home products retailer.
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