AI Data Engineer – Azure.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm in the accounting and finance sector, serving organisations across multiple industries worldwide. They are known for large-scale digital transformation work and for investing heavily in data, analytics and artificial intelligence. The culture emphasises collaboration, continuous learning and delivering high-quality solutions to complex business challenges.
About the role.
This role centres on designing, building and operating scalable data pipelines and AI-enabled data platforms on Microsoft Azure. You will work with modern lakehouse and big data technologies to deliver reliable, well-modelled data for analytics and AI use cases. The position also involves applying agentic AI patterns and AI-powered development tools to accelerate engineering delivery. The role is based in Bengaluru with a hybrid working model.
What you will do.
- Design, develop and maintain end-to-end ETL and ELT data pipelines using Azure Databricks, Azure Data Factory and Apache Spark.
- Build and optimise data models (normalised and denormalised) across OLTP and OLAP environments to support analytics and reporting.
- Integrate data warehouses and BI tools, ensuring data quality, performance and reliability across the platform.
- Develop and manage data storage solutions using Azure Data Lake Storage, Azure Blob Storage and Azure Synapse Analytics.
- Ingest and process streaming and batch data using tools such as Kafka, PySpark and Hadoop where appropriate.
- Implement CI/CD practices using Azure DevOps and version control with Git within Agile delivery teams.
- Apply applied AI/ML frameworks and agentic AI patterns, including creating custom MCP skills and agents, to enhance data solutions.
- Leverage AI-powered development tools such as OpenAI Codex, Claude and Cursor to improve engineering productivity and code quality.
- Collaborate with architects, analysts and business stakeholders to translate requirements into robust technical solutions.
What you bring.
- 4–7 years of hands-on experience in data engineering, including building production data pipelines.
- Strong proficiency in SQL and Python, with working knowledge of PySpark and Apache Spark.
- Practical experience with Databricks and Azure Databricks, Azure Data Factory, and core Azure data services.
- Solid understanding of data modelling (normalisation and denormalisation), data warehousing and OLTP/OLAP concepts.
- Experience with Git, Azure DevOps for CI/CD and Agile delivery methodologies.
- Familiarity with Kafka, Hadoop and big data ecosystems is desirable.
- Exposure to applied AI/ML frameworks, MCP (Model Context Protocol) and agentic AI patterns is highly valued.
- Strong problem-solving skills, clear communication and the ability to work effectively in a hybrid team environment.
Other open roles.
Senior Associate - Internal Audit (Auto Retail Sector) — Mumbai · Hybrid
Omni BI Developer — Pune · Hybrid
Quality Manager – Plastic & Paper Packaging — Vapi · On-site