VirtueTech Recruitment Group
Data Integration Engineer | Cross Asset Trading House – Kafka Event Driven Data | Up to £140,000 + Bonus + Benefits | Hybrid
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Data Integration Engineer | Cross Asset Trading House – Kafka Event Driven Data
Job Overview
Data Integration Engineer is needed for a cross asset trading house who are looking to consume and distribute data at scale, faster, more securely and in a replicable manner, as they continue to add trading products, acquire companies and push their SAAS platform at scale.
The emphasis is on the Data INTEGRATION as you will be responsible for designing and implementing resilient ingestion, orchestration and distribution solutions, using service-based and event-driven architectures. Bridging data into systems, from an extraction and distribution perspective, ensuring integration is smooth and accurate.
Extracting Data from both bespoke internally built platforms, external market data providers, CRM’s, off-the-shelf platforms, Kafka Services & other sources. Integrating this data into a variety of different sources, ensuring observability, speed and accuracy, whilst also thinking about scale, as the firm continues to grow.
Job Details
- Position: Data Integration Engineer
- Compensation: Up to £140,000 + Bonus + Benefits
- Location: Hybrid working, 3 days from London, closest station is Bank / Liverpool Street
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Role Responsibilities
- Data Integration Engineer: Experience with Apache Kafka and event-driven integration architectures & designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms.
- This role will suit a highly technical Data Integration Engineer to design, build and optimise large-scale data pipelines that ingest and transform data from highly distributed, event-driven systems.
- You’ll work with enormous volumes of data and high-throughput event streams, building resilient, scalable integration services that can process data reliably in real time and near real time.
- The role will involve working deep in the technology stack, tackling challenges around throughput, latency, data consistency, schema evolution, fault tolerance and observability.
As the Data Integration Engineer you need to be comfortable working with event-driven architectures, streaming platforms, APIs and distributed systems, and have a strong understanding of how to engineer data pipelines that remain performant and reliable at scale. This will suit a data integration engineer who enjoys solving complex engineering problems, understands the trade-offs involved in processing huge datasets, and can work across application, data and infrastructure layers to deliver robust integrations that underpin critical business processes.
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Requirements
- Strong hands-on experience with Apache Kafka and event-driven integration architectures.
- Proven expertise designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms, applications, and operational systems.
- Experience implementing CI/CD pipelines, automated testing, and modern software engineering practices.
- Strong proficiency in Python and SQL for enterprise data engineering and integration workloads.
- Understanding of how Integration architectures and engineering practices influence data quality, observability, lineage, traceability, and auditability.
Application
If you are interested in this Data Integration Engineer role, please reply with your latest CV or send to ross@virtuetech.io
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