Senior Data Engineer
emagine · Copenhagen, Denmark ·
- Work mode
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Category
- Data engineering
emagine · Copenhagen, Denmark ·
central1resources · Vancouver
Health-E Commerce · United States
Dataeconomy · Hyderabad, India
Designs and builds scalable Azure-based data pipelines and master data structures using SQL, C#, Python, Kafka, and Event Hub.
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.
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.
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.
Start: 01 October 2026
Workload: Full-time
Duration: 3–6 months + option for extension
Location: Onsite 3–4 days per week, remainder remote