Senior Data Engineer

About the roleAs a Senior Data Engineer at Enfuce, you take end-to-end ownership of the data platform that ingests, processes, and serves reliable data across the company. You design and maintain scalable, secure, and highly available infrastructure and pipelines, ensuring the platform operates with strong reliability, observability, and security standards. You drive the technical

direction of our data platform, contribute to architectural decisions, and proactively improve performance, cost-efficiency, and long-term maintainability.

Your work enables analytics, machine learning, agentic AI, and embedded customer-facing data products. You operate independently, solve complex problems with structure, and elevate the

Data Engineering discipline through high technical standards and strong collaboration with the wider engineering organisation.

What you'll be doing:Build, operate, and optimise data pipelines across batch, streaming, and event-driven patterns using technologies such as EventBridge, Firehose, Kinesis, or Kafka.

Design and maintain cloud-native data infrastructure on AWS, including ingestion, processing, orchestration, and storage layers.

Develop containerised data services and workflows using Docker and Kubernetes (EKS).

Use Infrastructure as Code (Terraform preferred) and CI/CD pipelines to automate deployments and enforce consistent, reliable environments.

Implement monitoring, logging, and alerting to ensure platform reliability, data quality, and fast incident resolution.

Drive architectural improvements, reduce technical debt, and introduce better tooling, standards, and practices.

Collaborate with software engineering, analytics, product, and compliance teams to define requirements and deliver high-quality data solutions.

Mentor engineers, review designs, and contribute to the maturity and excellence of the Data Engineering function.

What you'll bringStrong hands-on experience with modern cloud platforms (AWS preferred), especially services relevan