Senior Data Engineer

Senior Data Engineer Role Overview A strong and capable Senior Data Engineer is sought with expertise in Master Data, advanced SQL, C#, Python, and modern event-driven technologies like Kafka and Event Hub. The role involves designing and implementing scalable Azure-based cloud solutions, ensuring high-quality data pipelines and robust integrations under strong architectural governance. This position requires a true superstar profile—someone who combines deep technical ability with strong analytical thinking, excellent communication skills, and the capability to collaborate effectively with business stakeholders. Key Responsibilities Master Data Engineering — Design, build, and optimize master data structures and governance frameworks across enterprise systems. Advanced SQL Engineering — Develop high-performance SQL solutions for data processing, transformation, and analytics. C# and Python Development — Build scalable data components, automation scripts, and integration logic. Kafka & Event Hub — Design and maintain event-driven data pipelines and streaming architectures. Azure Cloud Solutions — Implement cloud-native data solutions leveraging Azure Data Factory, Azure Functions, Event Hub, Storage, and related services. Integration Engineering — Develop and maintain integrations across internal systems, cloud platforms, and external data sources. Data Quality & Governance — Ensure data accuracy, consistency, and compliance across the full data lifecycle. Collaboration with Business — Work closely with business teams to understand requirements and translate them into technical solutions. Technical Documentation — Produce clear architectural diagrams, data flow documentation, and engineering guidelines. Required Skills & Experience Senior-level experience as Data Engineer in enterprise environments. Strong, hands-on expertise in Master Data, SQL, C#, Python, Kafka, Event Hub, and event-driven architectures. Deep experience with Azure and modern cloud-native data platforms. Proven ability to design scalable, secure, and high-performance data pipelines. Strong communication skills and ability to work closely with business stakeholders. Experience working in hybrid setups with onsite collaboration. Other Details Start: 01 October 2026 Workload: Full-time Duration: 3–6 months option for extension Location: Onsite 3–4 days per week, remainder remote