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