DysrupIT

Game Engineer

• Design, develop, and maintain scalable data pipelines on the Databricks Lakehouse Platform.
• Implement and administer Unity Catalog for enterprise data governance, access control, lineage, and data sharing.
• Support hydrocarbon reporting workflows, including ingestion, transformation, validation, and reconciliation of production and operational data.
• Develop ETL/ELT pipelines using Spark, Delta Lake, and Delta Live Tables (Lakeflow experience is a plus).
• Optimize Databricks workloads for performance, reliability, and cost efficiency.
• Collaborate with business stakeholders to translate reporting requirements into scalable technical solutions.
• Implement data quality checks, monitoring, and automated validation frameworks.
• Work closely with solution architects and data engineers on platform enhancements and production support.
• Document technical designs, governance standards, and operational procedures.
• Participate in code reviews, CI/CD implementation, and DevOps best practices.

Databricks Developer, Unity Catalog Migration

Support Engineer

• Maintain clear, up-to-date documentation for architecture, processes, and product decisions, under guidance from the Senior Agentic AI Lead
• Support day-to-day development tasks using Claude Code, Postgres, and Rust, with growing autonomy over time
• Assist with testing — running regression checks, logging bugs, and verifying fixes
• Keep the GitHub repository organized: clean commits, clear pull requests, and up-to-date changelogs
• Manage tickets and workflow hygiene in Jira alongside the rest of the pod
• Help coordinate UI build-out and updates via Loveable
• Support the SLM Trainer with basic data preparation and organization tasks as needed
• Take notes and produce clear summaries from technical discussions for the wider team and client
• Flag anything that looks like a risk, bug, or gap early so senior members of the pod can address it

Junior Developer, Documentation & Support

Trainer

• Train, fine-tune, and continuously improve the product’s Small Language Models (SLMs) under the direction of the Senior Agentic AI Lead
• Build and maintain evaluation and regression-test suites to catch model drift or degraded performance before it reaches production
• Monitor live model behavior in production, triage anomalies, and escalate incidents appropriately
• Curate, clean, and manage training and evaluation datasets in line with governance and data-handling standards
• Work within the Claude Code, Postgres, and Rust stack to support model integration and testing
• Document model versions, training decisions, evaluation results, and known limitations
• Collaborate closely with the junior developer on the pod to keep documentation and test coverage current
• Manage your own workstream through Jira and contribute to the shared GitHub codebase
• Flag risks around model behavior, bias, or data handling to the Senior Agentic AI Lead promptly

SLM Trainer

Full-stack Engineer

• Help build parts of the policy engine
• Support development of residency-routing logic
• Build the logging system that records every decision
• Connect the policy engine to other systems
• Help build a simple dashboard for compliance team members
• Write clean, tested code and participate in code review
• Meet regularly with senior engineers to share progress

Junior Software Engineer

AI Engineer

• Own the technical direction of an agentic AI product being transitioned from an external US vendor to an in-house team
• Lead a small pod, including a developer dedicated to SLM training, setting priorities and reviewing their work
• Design and build using Claude Code, Postgres, and Rust as the core stack
• Establish and enforce governance operations — data handling, model behavior, access controls, and change management
• Embed application security thinking into every layer of the architecture, from code to deployment
• Bring genuine business acumen to technical decisions — balancing customer needs, cost, and delivery timelines
• Manage requirements and delivery through Jira, maintain the codebase in GitHub, and coordinate UI build-out via Loveable
• Produce clear, thorough documentation for architecture, processes, and product decisions
• Act as the primary technical point of contact for leadership and the incoming customer base

Senior Agentic AI Lead

Backend Engineer

• Engage with clients to gather requirements, provide updates, manage expectations, and discuss innovative solutions
• Lead the team, assign tasks, set deadlines, and align efforts with project objectives
• Ensure deliverables meet standards through regular reviews and improvements
• Resolve project issues efficiently to maintain progress
• Collaborate with architects and consultants to implement scalable AI use cases, enhance Power Platform with Azure AI Foundry

Power Platform Architect – Developer

Consultant

• Develop and build an end-to-end TPRM Program - onboarding, risk assessments, performance monitoring, and offboarding
• Support ISO 27001 audit readiness activities, including gap assessments and remediation tracking as needed.
• Assess third-party/vendor risk exposure and ensure compliance with security and regulatory requirements.
• Coordinate with internal stakeholders (IT, Legal, Security, Procurement) to align the TPRM Program with existing frameworks
• Develop and build the vendor risk registers, compliance trackers, and audit documentation as the single source of truth, keeping it current and audit-ready
• Support internal and external audits, liaising with certification bodies as needed
• Design the TPRM policy, procedure, and risk-tiering methodology (critical/high/medium/low based on data access, business impact, and regulatory exposure)
• Build vendor risk assessment templates (SIG/CAIQ-aligned questionnaires, DPIA triggers for vendors processing personal data)
• Establish the vendor inventory/register and define onboarding, monitoring, and offboarding workflows
• Recommend standard security/privacy contract clauses and Data Processing Agreement (DPA) templates for Legal and Procurement to adopt
• Own and execute the full vendor risk assessment lifecycle across all tiers on the defined cadence (e.g., annual for critical, biennial for lower risk)
• Continuously monitor vendor risk posture (security ratings platforms, incident tracking, contract or scope changes) and reassess as needed
• Coordinate with Legal/Procurement on contract renewals, DPA updates, and sub processor changes
• Support internal and external audits (ISO 27001, customer security reviews) with TPRM evidence and documentation
• Prepare and present vendor risk metrics, top risks, and program status to leadership/risk committee on a regular cadence (e.g., monthly or quarterly)
• Provide guidance and light training to internal stakeholders (Procurement, business owners) on TPRM policy and process
• Develop the SOP for managing vendor offboarding, including secure data return/destruction confirmation and access revocation tracking
• Periodically refine the program (policy updates, template improvements, tooling optimization) as the vendor landscape and regulatory environment evolve
• Reduce weekly hours once the vendor register is complete and the first full assessment cycle has closed, in agreement with the organization.

TPRM Consultant

QA Engineer

• Design, develop, and maintain test scripts for Dynamics 365 CRM applications.
• Conduct functional, regression, and integration testing of CRM modules and custom components.
• Collaborate closely with developers, business analysts, and QA teams to identify test requirements and ensure coverage.
• Execute test cases, document defects, and verify fixes.
• Participate in Agile ceremonies such as sprint planning and retrospectives.
• Provide accurate test reporting and ensure adherence to QA best practices.

Dynamics CRM QA

Data Engineer

• Design, develop, and maintain ELT pipelines using Databricks and related technologies
• Build and optimize large-scale data processing workflows using PySpark and SQL
• Orchestrate multi-stage data pipelines using Databricks Workflows and Jobs, and develop Delta Live Tables (DLT) pipelines with built-in data quality enforcement
• Develop and manage data models to support analytics, reporting, and business intelligence requirements
• Implement and support data Lakehouse architectures and data warehousing solutions
• Collaborate with data analysts, architects, and business stakeholders to understand and deliver on data requirements
• Ensure data quality, integrity, and governance across all data platforms
• Monitor and troubleshoot data workflows, pipeline performance, and platform issues
• Contribute to continuous improvement of data engineering standards and practices

Data Engineer, Databricks

• Strategic Advisory — Provide guidance on the proposed single-tenant, multi-Geo consolidation approach, including identification of constraints, risks, dependencies, and recommended sequencing.
• Multi-Geo Architecture & Data Residency — Design and implement Microsoft 365 Multi-Geo configuration to ensure appropriate data residency for UK and ANZ users/workloads in compliance with regional requirements.
• Tenant Migration — UK — Plan and execute migration of the legacy (~10-year-old) UK .co.uk tenant into the unified .com tenant, with attention to the complexity and historical configuration accumulated over a decade.
• Tenant Migration — ANZ — Plan and execute migration of Australia/New Zealand workloads from Google Workspace into the unified Microsoft 365 .com tenant, including mail, identity, and collaboration tools.
• Identity & Access Management — Ensure Entra ID remains central to the consolidated environment, preserving and/or enhancing automated joiner/mover/leaver (JML) processes across all regions.
• Risk & Change Management — Identify migration risks (data loss, downtime, compliance gaps, user disruption) and develop mitigation and rollback strategies.
• Documentation & Knowledge Transfer — Provide implementation documentation, architecture diagrams, and runbooks to support internal IT teams' post-migration.
• Stakeholder Coordination — Work with Manuka Global's internal IT and regional business stakeholders across UK, US, Australia, and New Zealand to align timelines and minimize business impact.
• (Potential, longer-term) IT Operations Partnership — Subject to successful project delivery, scope for an ongoing IT Ops support relationship.

Microsoft 365 Migration Consultant

• Act as subject-matter expert/solutions architect in your specialisation (Oracle DBA, Cloud Architecture, and ideally Cyber Security);
• Lead solution design, gap analysis, data migration strategy and performance tuning for complex client environments.
• Install, configure and support the Prescience toolset (Primavera P6, EPPM, PCM and related products), building toolset depth through structured learning and on-the-job development.
• Proactively monitor, manage and support the PPDC environment within OCI.
• Provide technical support to clients, resolving escalated tickets and delivering consulting services in line with agreed SLAs.
• Support integration activities across Web Services / API, Primavera, Oracle Database and cloud platforms.
• Proactively monitor and optimise client environments, and ensure systems under Managed Services and Cloud agreements have appropriate support and maintenance strategies.
• Oversee the quality of project deliverables and apply procedures and ITIL service-management practices.
• Conduct technical risk analysis and develop contingency plans; produce high-quality solution documentation and maintain the knowledge base.
• Lead and develop quality client relationships; facilitate workshops and constructively challenge clients and peers on delivery assumptions.
• Act as the functional bridge between clients and technical consultants, translating client requirements into workable solutions.
• Mentor and guide consultants and senior consultants, and deliver internal training to help other team members level up in additional technical areas.
• Be available for on-call support in line with the C&MS On-Call Support Roster.
• Communicate effectively with stakeholders to generate respect and credibility, escalating issues appropriately with evidence-based resolution strategies.
• Support bids, pre-sales and proposal estimation, and identify sales leads while delivering client work.
• Introduce and influence new technology initiatives that drive performance improvement.

Oracle DBA – Consultant

SDET

• Lead and own the end-to-end quality assurance strategy, including test planning, execution, and reporting
• Design, develop, and maintain automated test frameworks and scripts to support continuous integration and delivery pipelines
• Execute and oversee comprehensive manual testing efforts, including exploratory, regression, functional, and integration testing
• Lead and coordinate Automated Test Framework (ATF) activities, ensuring test cases accurately reflect business and functional requirements
• Plan, facilitate, and manage User Acceptance Testing (UAT) cycles in collaboration with business stakeholders and end users
• Define and enforce QA best practices, standards, and processes across the team
• Mentor and provide technical guidance to junior and mid-level QA engineers
• Identify, document, and track defects through to resolution, maintaining clear and thorough defect reports
• Collaborate with development teams to ensure testability is built into the design and architecture of features
• Produce detailed test reports, metrics, and status updates for stakeholders at all levels
• Continuously evaluate and recommend improvements to testing tools, methodologies, and processes

Senior Lead Test Engineer

Recruitment

• Identify suitable candidates and assess their qualifications by reviewing resumes, conducting interviews, and evaluating other forms of communication.
• Source candidates proactively through job boards, social media, referrals, and other channels to build a strong talent pipeline.
• Collaborate with hiring managers to understand specific needs and roles to be filled, ensuring alignment between candidate profiles and team requirements.
• Coordinate interview schedules, ensuring a smooth and efficient process for both candidates and hiring managers.
• Create detailed job descriptions and post them on relevant media platforms, ensuring clarity and accuracy in job requirements.
• Manage multiple open requisitions simultaneously, prioritizing workload to meet hiring timelines across various roles and clients.
• Maintain regular contact with candidates to keep them updated on the status of their applications, providing timely feedback and guidance throughout the recruitment process.
• Maintain accurate and up-to-date candidate records in the Applicant Tracking System (ATS)

Recruiter

• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
• Ensure data quality and integrity through data validation techniques and frameworks.
• Develop and maintain documentation for data processes, configurations, and best practices.
• Monitor and troubleshoot data pipeline issues to ensure timely resolution.
• Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.

Azure Data Engineer

• D365 CID administration & support
• Support and extend an existing CID setup onboard new sources, tune unification rules, manage refresh schedules and environment configuration.
• Triage and resolve CID issues raised by the customer’s business and IT teams: failed refreshes, broken segments, profile-count discrepancies, export failures, permission issues.
• Manage Support tickets with Microsoft relating to CID issues.
• Operate and support upstream data pipelines feeding CID.
• Validate data on date and data fitness for CID (schema, keys, types, nulls, duplicates) — and fix or escalate when it isn’t.
• Build and maintain monitoring on pipeline runs, refresh status, row counts, and SLAs.
• Perform root-cause analysis end-to-end — source → lake → pipeline → CID → consumer — and produce clean write-ups and permanent fixes, not just patches.
• Run regular service reviews with the customer’s data and CRM stakeholders, log changes through formal change control, and keep documentation current.