Enfuce

Data Engineer

• 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.

Senior Data Engineer

Engineering Manager

• Lead two engineering teams (13–15 people) composed of backend engineers
• Develop and coach engineers
• Drive execution ensuring reliable delivery and high quality
• Collaborate closely with Product Managers and other Engineering leaders
• Influence technical direction and participate in architecture discussions
• Champion engineering excellence by promoting observability, automation, and strong DevOps practices

Senior Engineering Manager – Card Processing

Revenue Operations

• Support the CCO and CMO in developing and executing revenue strategy, including forecasting, territory design, pipeline management and annual planning.
• Define and monitor key metrics (ARR, MRR, pipeline coverage, churn, expansion) to ensure growth targets are met.
• Drive CRM data accuracy, timely and actionable.
• Equip sales with the right tooling, collateral and insights to drive conversion improvements.
• Work with the pricing analyst to standardise pricing bundles per vertical and contract processes.
• Track KPI’s, cac, win rate, pipeline coverage and upsell (product utilisation) to the existing portfolio.
• Implement playbooks, workflows, and enablement practices to reduce friction across the customer journey.
• Own and optimise CRM (HubSpot/Salesforce or equivalent), sales engagement, and analytics tools.
• Build dashboards and reports to track pipeline health, conversion rates, campaign effectiveness, and customer lifecycle metrics.
• Act as the operational partner to Sales, Marketing, and Customer Success leads.

Senior Data Engineer

Senior Engineering Manager – Card Processing

RevOps Specialist