4 of 4 Data Engineering Jobs in Sheffield

Data Engineer Location: Sheffield (Hybrid - 3 days per week onsite) Salary: £50,000-£60,000 depending on experience DCS Tech are searching for an experienced Data Engineer to join our clients growing team! You will play a crucial part in designing, building, and optimising the data infrastructure … that underpins the organisation. Key responsibilities Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools. Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment. Build ...

technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop … solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron ...

Title: Engineering Tech Lead Location: Sheffield (Hybrid) Salary/Rate: Up to £537 per day Start Date: Feb 2026 Job Type: 6-month contract (Inside IR35) Company Introduction: We are currently recruiting for an Engineering Tech Lead with experience in Data Engineering, OpenShift Telemetry, Kafka, Splunk … join our global client in the financial services sector. Job Responsibilities/Objectives: . Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. . Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. ...

Responsibilities: Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. Engineer data models and routing for multi-tenant observability; ensure lineage, quality … proactive insights). Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events. Build automated validation, replay, and backfill mechanisms for data reliability and recovery. Instrument services with OpenTelemetry; standardize tracing, metrics, and structured logging across platforms. Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly ...