Senior Data Engineer

Emagine • C# • Python • SQL • 11 days ago
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Emagine

Emagine is a pan-European business and technology consultancy specializing in high-end IT consulting and business transformation. Headquartered in Denmark, the company provides expert advice, managed teams, and managed services to enterprise clients in industries such as banking, finance, and telecommunications.
emagine.org • HQ: Copenhagen, Denmark • Professional Services

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

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