Job Description

What you'll do

• Data Engineering & Development
• Design, build, and maintain reliable, scalable data pipelines using batch and incremental processing patterns.
• Develop and optimise SQL-based transformations and data models for analytics and reporting use cases.
• Write clean, efficient and testable code using Python (Pandas / PySpark).
• Implement and support data warehouse and lakehouse solutions following best practices (e.g., Bronze/Silver/Gold).
• Build curated datasets and semantic models to enable Power BI dashboards and reports.


• Cloud & Platform
• Work extensively on the  Microsoft Azure data ecosystem, including:
• Azure Synapse Analytics
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Data Lake (ADLS Gen2)
• Power BI
• Participate in design and implementation of solutions on  Microsoft Fabric (nice to have).
• Support workloads running on or integrated with  AWS and GCP where required.


• Operational Excellence
• Ensure data pipelines are robust, monitored, and production-ready.
• Troubleshoot and resolve data quality, performance, and reliability issues.
• Support production systems and participate in incident resolution and root-cause analysis.
• Apply FinOps principles to optimize cloud data platform costs.


• Collaboration & Leadership
• Act as a technical mentor for junior and mid-level data engineers.
• Review code and designs with a focus on quality, performance, and maintainability.
• Work closely with analysts, product owners, and stakeholders to understand real business requirements and translate them into data solutions.
• Contribute positively to team culture with a collaborative and ownership-driven mindset.

What you'll need

• 6-9 years of experience in data engineering, analytics engineering, or software engineering.
• 5+ years of strong hands-on experience with:
• SQL (complex queries, performance tuning, data modeling)
• Data Warehousing concepts
• Data visualization using Power BI
• Strong programming experience with Python, especially Pandas (PySpark experience is a plus).
• Proven experience building and supporting data platforms on Microsoft Azure.
• Strong analytical skills and ability to represent data meaningfully by understanding business context.


• Good to Have
• Exposure to Microsoft Fabric.
• Basic working knowledge of:
• Bash / Shell scripting
• Networking fundamentals
• Infrastructure as Code (Terraform)
• IAM and security concepts
• Familiarity with data governance concepts such as data quality, lineage, and access control.


• What We Look For
• A strong hands-on senior engineer, not just a designer.
• Someone who takes ownership of data solutions end-to-end.
• A team player with good cultural adaptability and communication skills.
• Curiosity and passion for continuously improving data systems.