At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.
We do this by living the [DI] code:
We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.
“We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO
Job DescriptionField Engineer – Enterprise Integration & Deployment
We are looking for a highly motivated Field Engineer to join our dynamic team on a contract basis, working with enterprise clients to deliver reliable, scalable solutions in the AI space. This role is ideal for someone who thrives in fast-paced environments, enjoys hands-on implementation, and has a strong background in infrastructure, integration, and customer-facing delivery.
Key Responsibilities
- Lead the deployment and integration of enterprise production environments, ensuring reliability and scalability
- Configure identity protocols (SAML/OIDC/SCIM), networking setups (VPC, peering, VPN, private link), and data/event pipelines (Kafka, Kinesis, Pub/Sub)
- Design and implement workflows, connectors, and APIs (REST/GraphQL), including robust data mapping, transformation logic, and error handling
- Deliver repeatable infrastructure using Terraform and Helm, contributing to reusable modules, runbooks, and deployment checklists
- Manage go-live processes including cutovers and rollbacks, while ensuring observability through instrumentation, SLOs, alerting, and dashboards
- Conduct enterprise-grade security and compliance reviews, producing documentation and artifacts for customer assurance
- Facilitate technical workshops, user acceptance testing, performance/load testing, and go-live support
- Diagnose and resolve issues with clear root-cause analysis and actionable remediation plans
- Support selected presales activities such as scoped demos, proof-of-concepts, and implementation estimates
- Provide feedback from field deployments to inform product improvements and enhance documentation
- Drive measurable success across key metrics including time-to-value, on-time delivery, SLA adherence, and customer satisfaction
Tech Stack
- Infrastructure as Code: Terraform, Helm
- Integration & Eventing: Kafka, Kinesis, Pub/Sub
- APIs & Workflows: REST, GraphQL
- Monitoring & Reliability: Dashboards, SLOs, Incident Response
- Security: RBAC, Encryption, Data Residency
Core Attributes
- Self-starter with excellent organisational skills
- Comfortable working independently and collaboratively
- Proven ability to manage multiple initiatives simultaneously
- Strong communication skills and stakeholder engagement
- Experience in fast-paced environments with shifting priorities
Preferred Experience
- Enterprise deployment and integration experience
- Familiarity with identity and networking configuration in cloud environments
- Exposure to observability, reliability engineering, and security compliance
- Experience running technical workshops and customer-facing delivery
A little background on DI
Simply put – we turn big data problems into smart data solutions
At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.
This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.
Fair employment and equal opportunities
Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.
Welcome to Data Intellect.
#ChallengeAccepted
