Latest Jobs at Ovations Technologies

Job Description:

• This is a 6 – month contract with our client in the Fintech industry
• We are looking for a strategic and hands-on Manager: AI Data Engineer to lead the design, construction, and operation of data pipelines and data products purpose-built for AI and advanced analytics.

Key Responsibilities

• AI Data Architecture: Design and implement scalable batch and streaming data pipelines to support model training, feature generation, and real-time inference.
• Feature Stores & Data Products: Build, standardise, and operate feature stores to ensure consistency between training and inference across the group.
• Data Governance & Observability: Enforce end-to-end data lineage, traceability, and automated quality checks. Build pipeline observability to proactively detect data drift and anomalies.
• Cross-Functional Collaboration: Partner closely with MLOps, AI Platform Engineering, Security, and Risk teams to deliver compliant, production-ready, and high-quality data assets.
• Compliance & Privacy: Ensure all AI datasets comply with local market regulations, data sovereignty, and security standards (privacy-by-design).

Requirements

Education:

• Master of Science (MSc) in Computer Science, Big Data, Information Systems, Engineering, or an AI/Data-related field.

Experience & Skills:

• 5+ years of hands-on data engineering experience, specifically building large-scale batch/streaming pipelines and feature engineering pipelines.
• Proven experience with Cloud Data Platforms (Azure is a strict requirement).
• Deep understanding of both structured and unstructured data processing.
• Strong knowledge of feature store concepts, data pipeline orchestration, and pipeline observability.
• Advantageous: Experience within Fintech, Financial Services, Telco, or heavily regulated, large-scale environments.

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Job Description:

• This is a 6 – month contract with our client in the fintech industry
• We are seeking a strategic and commercial Manager: AI Product Owner (Platform) to treat our AI ecosystem not just as a collection of tools, but as an enterprise-grade product.

Key Performance Areas

• Platform Vision & Strategy: Define and advocate for the AI platform as a shared Group asset, balancing high-impact innovation with cost efficiency and strict regulatory compliance.
• Roadmap & Backlog Mastery: Own and ruthlessly prioritize an outcome-driven platform backlog based on clear business value, risk reduction, and operational capacity.
• Demand & Stakeholder Management: Translate diverse business and OpCo demands into unified, scalable platform features rather than bespoke, one-off solutions.
• SLAs, KPIs & Adoption: Define and own key platform metrics (availability, consumption, performance) while working alongside SRE and Platform Engineering to drive widespread adoption.
• Value Realization: Partner with finance and business teams to track the exact ROI delivered by the platform, identifying underutilization and driving commercial discipline.
• Governance & Scaling: Navigate the platform's full lifecycle from pilot to scaled, industrialised operations while aligning with modern security, risk, and architectural standards.

Requirements

Education:

• Bachelor's or master's degree in business, Technology, Engineering, Information Systems, or a related field.

Experience & Competencies:

• 5+ years of dedicated experience in Product Management or Platform Ownership roles.
• Proven track record of managing foundational technology platforms, infrastructure, or developer-facing products (rather than just end-user applications).
• Familiarity with cloud/digital platform economics, consumption models, and managing SLAs/SLOs.
• Highly Advantageous: Experience within Fintech, Financial Services, Telecommunications, or heavily regulated industries.
• Preferred: Practical exposure to AI, ML lifecycle frameworks, or modern data platforms.

Core Skills:

• Superb stakeholder management with the ability to articulate technical roadmaps to executives and business value to engineering teams.
• A pragmatic, value-oriented mindset that remains calm and decisive under competing, high-pressure demands.

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Job Description:

• This is a 6 – month contract with our client in the Fintech industry
• We are seeking an objective, analytical Manager: AI Value Realisation Engineer to establish financial and operational discipline across our AI ecosystem.

Key Performance Areas

• Value Framework Design: Build and maintain standard methodologies to accurately quantify AI impact across revenue uplift, cost reduction, risk mitigation, and productivity gains.
• Benefits Tracking & Validation: Audit and track realized AI benefits against original business cases, clearly separating direct AI-attributed ROI from indirect, correlated business noise.
• Value Leakage Diagnosis: Proactively hunt down gaps between forecast and actual value. Identify root causes of leakage—whether due to low user adoption, process friction, model limitations, or cloud cost overruns—and recommend corrective action.
• Portfolio & Investment Analytics: Model ROI, payback periods, and break-even points across the AI portfolio to steer funding decisions based on hard evidence, not advocacy.
• Executive Transparency: Translate complex technical data into concise, board-ready financial and strategic insights for steering committees and governance forums.

Requirements

Education:

• Bachelor's or master's degree in finance, Economics, Business Analytics, Engineering, Data, or a related quantitative field.

Experience & Competencies:

• 5+ years of dedicated experience in Value Realisation, Performance Management, Finance, Strategy, or Business Analytics.
• A proven track record of successfully quantifying and auditing the financial value of complex digital, cloud, analytics, or technology transformations.
• Strong commercial and economic modelling skills (ROI, NPV, efficiency metrics) coupled with an analytical approach to technology.
• Highly Advantageous: Experience within Fintech, Financial Services, Telecommunications, or heavily regulated environments.
• Preferred: Practical exposure to the mechanics of AI/ML models, advanced analytics workloads, or digital platforms.

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Job Description:

• This is a 6  - month contract.
• Our client, a leading Fintech innovator, is looking for a strategic leader to treat data as a high-value asset.
• In this role, you will bridge the gap between compliance and innovation—embedding data quality, privacy, and usability across 16 markets while actively enabling responsible AI, regulatory compliance, and data monetization.
• You will partner closely with Data Engineering, AI/ML teams, Risk, and Legal to build a trusted, secure-by-design data culture.

Key Performance Areas

• Strategy & Operating Model: Define and evolve the enterprise AI data governance framework, policies, and federated operating model across all markets.
• Data Quality & Lineage: Establish enterprise data quality standards, master data management, and end-to-end data cataloging/lineage aligned to DAMA-DMBOK or DCAM.
• Responsible AI & Model Governance: Define ethical AI principles (fairness, transparency, bias mitigation) and manage training-data lineage across the model lifecycle.
• Privacy & Compliance: Embed privacy-by-design and data-protection controls aligned to POPIA, GDPR, ISO 27001, and PCI DSS.
• Data Monetisation & Literacy: Establish the consent and data-sharing guardrails required to safely commercialize data products while uplifting enterprise data literacy.

Requirements include:

• Experience: 8+ years in Data Governance, Data Management, or Risk Management within Fintech, Banking, or Telecoms.
• Framework Mastery: Deep knowledge of data frameworks (DMBOK/DCAM) and regulatory landscapes (POPIA/GDPR).
• AI/ML Familiarity: Practical understanding of cloud data pipelines and data structures used for training GenAI and classical ML models.
• Stakeholder Influence: Proven ability to navigate complex, multi-country matrix structures and translate technical governance into business value.

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Job Description:

• This is a 6 – month contract with our client in the Fintech industry
• In this role, you will help design and operate robust AI security controls, standards, and assurance activities across GenAI, classical ML, data pipelines, and AI-enabled products.

What You'll Do (Key Performance Areas):

• AI Security Governance: Support the Fintech AI security mandate; embed BRAIN policy requirements into product gates and coordinate controls across Risk, Legal, Privacy, and Procurement.
• Strategy & Architecture: Implement security standards aligned with cloud reference architectures, Zero Trust, secure SDLC, and IAM across MLOps stacks and model-serving patterns.
• Generative AI & LLM Security: Operationalize BRAIN policy guardrails, including prompt security, input/output filtering, data loss prevention (DLP), and secure LLM architecture patterns.
• Adversarial ML Defence & Red Teaming: Conduct threat modelling, adversarial robustness testing (poisoning, evasion, prompt injection), and execute AI red-teaming exercises.
• Secure MLOps & Data Security: Enforce CI/CD security for models, hardened model registries, signed/attested models, and protect training datasets from data leakage.
• Monitoring & Incident Response: Integrate AI platforms with the enterprise SIEM/SOC and extend cyber incident-response playbooks to handle compromised models and behavioural drift.
• Compliance & Frameworks: Map controls to POPIA, GDPR, ISO/IEC 27001, ISO/IEC 42001 (AI), and the NIST AI RMF.

What You Bring:

• Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Honours advantageous).
• Certifications: CISSP, CCSP, or specialized Cloud AI/ML engineering credentials.
• Experience: 5+ years in cybersecurity/platform security, including 2–3+ years specifically securing AI/ML platforms, GenAI/LLM ecosystems, or enterprise data analytics.
• Environment: Experience in complex, multi-country enterprise environments (preferably Telco or Fintech) with hands-on exposure to cloud-native AI stacks (specifically Azure) and MLOps toolchains.
• Core Competencies: Expert-level understanding of threat modelling, LLM guardrails, data privacy, and cross-functional stakeholder management.

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Job Description:

• This is a 6 – month contract with our client in the Fintech industry
• Our client is seeking an AI Data Architect to design, govern, and evolve their end-to-end enterprise artificial intelligence landscape. In this strategic role, you will bridge the gap between business vision and advanced technology—ensuring that machine learning, GenAI, and intelligent automation platforms are scalable, production-grade, and seamlessly integrated into the core cloud and data ecosystems.
• As the technical authority for AI, you will champion a "responsible-by-design" approach, embedding ethics, security, and governance into every blueprint.

Responsibilities include

• Enterprise Blueprinting: Define and own the end-to-end AI architecture. Translate product strategies into production-grade solution designs covering data ingestion, feature engineering, model serving, and API integrations.
• Platform & Core Capabilities: Architect scalable platforms supporting advanced MLOps and LLMOps capabilities, including CI/CD pipelines, observability, drift detection, and automated retraining.
• Responsible AI Governance: Establish robust frameworks for model risk management, evaluation, fairness, transparency, and regulatory compliance throughout the full AI lifecycle.
• Technical Leadership: Act as the ultimate subject matter expert for AI initiatives, mentoring data science and engineering teams while driving enterprise-wide AI transformation.
• Strategic Change Sign-off: Lead strategy roadmaps, propose SLA policies, manage process escalations, and provide architectural sign-off for changes impacting the data and AI environments.

Requirements include:

• Education: Bachelor's degree in Computer Science, Information Systems, Data Management, or a related technical field. Professional certifications are a distinct advantage.
• Experience: 5+ years in AI, data, or solution architecture roles with a proven track record of delivering enterprise-grade AI solutions in large, regulated environments.
• Industry Edge: Strong preference for Financial Services, Banking, or Telecommunications experience—ideally with exposure to Mobile Money and cross-geography operations.
• Technical Mastery: Deep conceptual and practical understanding of cloud data platforms, big data ecosystems, structured/unstructured data processing, LLMs, AI agents, RAG patterns, and orchestration.

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Job Description:

• This is a 6 – month contract
• Our client in the Fintech sector is seeking a AI Security Assurance. This is a highly technical, offensive security role focused entirely on testing, red-teaming, and verifying the security of an enterprise AI and Large Language Model (LLM) estate.
• Rather than building the controls, you will act as the independent validator. You will exploit and break AI solutions—from the models themselves through to AI firewalls, retrieval-augmented generation (RAG) pipelines, and API gateways—providing evidence-based assurance that our systems are safe to deploy.

Responsibilities

• AI Red-Teaming & Adversarial Testing: Design and execute advanced adversarial testing on LLMs and AI systems (including prompt injection, jailbreaks, data leakage, model poisoning, extraction, and evasion) mapping directly to OWASP Top 10 for LLM and MITRE ATLAS.
• End-to-End Stack Verification: Test the complete AI infrastructure in production, validating that AI firewalls, API gateways, content moderation, rate limiting, and input/output guardrails function exactly as designed.
• API & Integration Security: Perform deep security testing of AI/LLM API integrations, focus areas include authentication, authorization, token/secret handling, and abuse protection.
• Supply Chain & Model Lineage: Conduct rigorous risk assessments on third-party foundation models, verifying model cards, dataset lineage, and provenance.
• Governance & CAB Sign-Off: Provide independent, evidence-backed security-readiness reports and structural sign-off to the Change Advisory Board (CAB) prior to production deployments.
• Automation & Threat tracking: Build automated testing pipelines for continuous AI red-teaming while monitoring the global threat landscape to update test cases against emerging exploit methods.

Requirements include

• Experience: Minimum 8–10 years in cybersecurity, with at least 5 years dedicated strictly to penetration testing, security testing, or red-teaming. Direct, demonstrable experience breaking AI/ML or LLM ecosystems is highly critical.
• Technical Breadth: Strong hands-on exposure to API gateways (e.g., Azure API Management, Kong, Apigee), AI firewalls, content-filtering technologies, and securing data pipelines (RAG/vector stores).
• Framework Mastery: Deep familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and regulatory compliance mandates (POPIA, GDPR, PCI DSS).
• Education & Certifications: Bachelor's or Master's degree in Computer Science or InfoSec. Highly preferred certifications include:
• Offensive: OSCP, OSEP, GPEN, or CRTO.
• General/Cloud: CISSP, CEH, and cloud-native security credentials (AWS/Azure/GCP).

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Job Description:

• This is a 6 – month contract with our client in the Fintech sector
• Where the assurance function tests and red teams, this role builds and hardens.
• Our client, a high-growth Fintech innovator, is looking for a Manager: AI Security Engineer. This is a hands-on, engineering-focused role dedicated to designing, building, and operating the actual security controls that protect the enterprise AI and Large Language Model (LLM) estate. You will take threat, assurance, and architecture findings and translate them into production-grade defenses—engineering protective guardrails, writing policy-as-code, and securing automated AI pipelines across multiple markets.

Responsibilities include:

• AI Defensive Controls Engineering: Design and build protective controls for the AI/LLM estate, including input/output filtering, content moderation frameworks, and AI firewalls.
• Policy-as-Code & Optimization: Develop and maintain policy engines (such as OPA/Rego) governing model access, token handling, and tool/plugin invocation. Continuously tune guardrails to balance security against false-positive rates.
• Secure API & AI Gateways: Configure and secure API/AI gateway architectures, managing authentication, authorization, rate limiting, schema validation, and prompt/response inspection.
• DevSecOps for AI: Integrate AI security controls and reusable libraries into existing CI/CD and MLOps pipelines, managing infrastructure and defenses strictly as code.
• Telemetry & Logging: Implement comprehensive telemetry, prompt/response logging, and abuse detection to proactively track model behaviour and guardrail bypass attempts.
• Assurance Remediations: Partner closely with the AI Red-Teaming/Assurance functions to rapidly close discovered vulnerabilities and align with the OWASP LLM Top 10 and MITRE ATLAS mitigations.

Requirements include:

• Experience: 8–10 years in security engineering or software engineering, with at least 5 years dedicated entirely to building and operating security controls. Strong software automation capability (Python preferred) is essential.
• Defensive Engineering Depth: Proven track record building guardrails, working with policy-as-code frameworks (e.g., OPA/Rego), tuning authorization engines, and implementing data-masking patterns.
• Pipeline Integration: Hands-on experience embedding security parameters directly into MLOps pipelines and managing secure API Gateway environments.
• Framework & Compliance Literacy: Strong understanding of Zero Trust architectures, NIST AI RMF, and data regulations (POPIA, GDPR, PCI DSS).
• Education & Certifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or InfoSec. Preferred credentials include:
• Security/Engineering: CISSP, CSSLP, or secure coding certifications.
• Cloud: AWS, Azure, or GCP Security specializations.

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Job Description:

• This is a 6 – month contract with our client in the Fintech industry.
• You will lead the standardization of architectural and integration methodologies, guiding the modernization of legacy enterprise systems into scalable, cloud-native, and composable architectures across all Fintech markets.

Responsibilities include

• Architectural Blueprinting & Roadmaps: Define enterprise application architectures focused on scalability, security, and high availability (HA). Develop and maintain multi-year roadmaps for core platforms (ERP, CRM, Finance, HR).
• Standardisation & Consolidation: Drive standardisation across diverse markets to eliminate duplication, minimize technical debt, and ensure components align tightly with target architectures.
• Modern Integration Engineering: Enforce advanced integration patterns, including API-led, event-driven architectures, and real-time data streaming (e.g., Kafka).
• Legacy Modernisation: Guide the transition of legacy monolithic enterprise systems toward modular, cloud-native, and composable architectures.
• Stakeholder & Workshop Leadership: Lead requirements-gathering workshops with cross-functional stakeholders, translate business demands into solid solution designs, and secure stakeholder sign-off.
• Governance & Risk Management: Monitor architectural health indicators, managing cross-platform dependencies, resolving escalations, and ensuring compliance with regulatory baselines (GDPR, POPIA, PCI DSS, PSD2, Open Banking).

Requirements include:

• Experience: Minimum 8–10 years in software and enterprise architecture roles, with at least 5 years specifically focused on core enterprise applications (ERP, CRM, Finance, HR systems).
• Framework Mastery: Deep, demonstrable experience with TOGAF or similar enterprise frameworks, capability maturity assessments, and governance protocols.
• Integration Expertise: Exceptional proficiency in enterprise integration patterns (iPaaS, ESB, API Gateways like MuleSoft/Kong) and real-time event streaming platforms.
• Security & Pipeline Literacy: Strong background in secure data pipeline design (encryption at rest/in transit, tokenization, data masking) within a high-volume financial context.
• Education & Certifications: Bachelor's or Master's degree in Computer Science or Information Systems. Highly preferred credentials include:
• EA Frameworks: TOGAF, SAFe Architect.
• Cloud/Vendors: Azure/AWS/GCP Architect, SAP, Oracle, or Salesforce certifications.
• Integration: MuleSoft, Apigee, Kong, or AWS API Gateway.

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Job Description:

• This is a 6 – month contract with our client in the Fintech role.
• Our client, a leading Fintech innovator, is seeking a Senior Architect: Wallet Evolution to drive the architectural strategy, solution design, and regional expansion of its core Wallet Platform.
• In this pan-African/multi-market role, you will hold ultimate accountability for shaping a secure, scalable, and cost-effective wallet ecosystem fit for advanced fintech use cases.

Responsibilities:

• Strategic Wallet Roadmap: Translate Group business strategies and product roadmaps into fit-for-purpose target-state designs, core wallet principles, and execution roadmaps.
• Multi-Market Adaptation Framework: Define and implement a standardized wallet adaptation framework that enables rapid feature rollout (payments, transfers, cash-out, merchant services) while protecting core system stability.
• Architecture Governance & Design Authority: Lead design authority forums across operating companies (OpCos). Review, guide, and sign off on all platform changes, vendor integrations, and technical customisations.
• Integration & Interoperability: Enforce standardized integration blueprints, API-first patterns, and architectural guardrails to ensure seamless connectivity between the wallet application, core banking modules, and external financial networks.
• Cross-Functional Technical Advisory: Act as the primary technical Subject Matter Expert (SME) on wallet transaction flows, advising internal development, product, and partner operational teams.
• Platform Optimization: Maximize the re-use of core wallet APIs and services across operating markets while keeping structural technical debt and architectural incidents to a minimum.

Requirements

• Experience: 5–7 years of technical architecture experience with a heavy focus on payment systems, core banking platforms, digital wallets, or Mobile Money (MoMo) environments.
• Domain Expertise: Deep understanding of high-volume transaction processing, payment gateways, mobile money ecosystem orchestration, and secure financial data streaming.
• Framework Mastery: Strong working knowledge of TOGAF or similar Enterprise Architecture frameworks, capability maturity assessments, and formalized governance workflows.
• Compliance & Technical Literacy: Solid understanding of financial regulations, including KYC/AML frameworks, PCI DSS, Open API standards, and secure transaction architectures.
• Delivery Environments: Comfort navigating multi-market deployments within Agile (Scrum/Kanban) and hybrid Waterfall SDLC frameworks.

Education & Certifications:

• Minimum 4-year Bachelor's degree in Computer Science, Engineering, IT, or a related field (Master's degree is highly desirable).
• Preferred Credentials: TOGAF, SAFe Architect, Cloud Architecture (AWS/Azure/GCP), or API Gateway management (Apigee, MuleSoft, Kong).

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Job Description:

• This is a 6 – month contract with our client in the Fintech space
• Our client, a leading Fintech innovator, is seeking a Senior Architect: Wallet Evolution to drive the architectural strategy, solution design, and regional expansion of its core Wallet Platform.
• In this pan-African/multi-market role, you will hold ultimate accountability for shaping a secure, scalable, and cost-effective wallet ecosystem fit for advanced fintech use cases. .

Responsibilities include

• Strategic Wallet Roadmap: Translate Group business strategies and product roadmaps into fit-for-purpose target-state designs, core wallet principles, and execution roadmaps.
• Multi-Market Adaptation Framework: Define and implement a standardized wallet adaptation framework that enables rapid feature rollout (payments, transfers, cash-out, merchant services) while protecting core system stability.
• Architecture Governance & Design Authority: Lead design authority forums across operating companies (OpCos). Review, guide, and sign off on all platform changes, vendor integrations, and technical customisations.
• Integration & Interoperability: Enforce standardized integration blueprints, API-first patterns, and architectural guardrails to ensure seamless connectivity between the wallet application, core banking modules, and external financial networks.
• Cross-Functional Technical Advisory: Act as the primary technical Subject Matter Expert (SME) on wallet transaction flows, advising internal development, product, and partner operational teams.
• Platform Optimization: Maximize the re-use of core wallet APIs and services across operating markets while keeping structural technical debt and architectural incidents to a minimum.

Requirements include:

• Experience: 5–7 years of technical architecture experience with a heavy focus on payment systems, core banking platforms, digital wallets, or Mobile Money (MoMo) environments.
• Domain Expertise: Deep understanding of high-volume transaction processing, payment gateways, mobile money ecosystem orchestration, and secure financial data streaming.
• Framework Mastery: Strong working knowledge of TOGAF or similar Enterprise Architecture frameworks, capability maturity assessments, and formalized governance workflows.
• Compliance & Technical Literacy: Solid understanding of financial regulations, including KYC/AML frameworks, PCI DSS, Open API standards, and secure transaction architectures.
• Delivery Environments: Comfort navigating multi-market deployments within Agile (Scrum/Kanban) and hybrid Waterfall SDLC frameworks.

Education & Certifications:

• Minimum 4-year Bachelor's degree in Computer Science, Engineering, IT, or a related field (Master's degree is highly desirable).
• Preferred Credentials: TOGAF, SAFe Architect, Cloud Architecture (AWS/Azure/GCP), or API Gateway management (Apigee, MuleSoft, Kong).

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• Are you passionate about building scalable, high-performance data solutions that drive business insights? We're looking for an experienced Senior Data Engineer to join an exciting team focused on designing and maintaining robust data infrastructure.
• This role is ideal for someone who enjoys building reliable data pipelines, optimizing data platforms, and enabling analytics through well-engineered data solutions. Please note: This is a Data Engineering role focused on infrastructure and data platforms—not machine learning or statistical modelling.

Key Responsibilities

• Design, build, and maintain batch and real-time data pipelines
• Develop and manage data lakes and data warehouses
• Integrate data solutions with backend applications
• Automate workflows and implement CI/CD for data pipelines
• Build and optimize data models for analytics and operational reporting
• Ensure data quality, integrity, security, and reliability
• Monitor and optimize data pipeline performance
• Collaborate with business stakeholders to deliver data-driven solutions
• Build, automate, and maintain Power BI dashboards and reports

Requirements

• 5+ years' experience as a Data Engineer or in a similar role
• Strong SQL skills with PostgreSQL experience
• Hands-on experience with DBT
• Proficiency in Python (or another data processing language)
• Experience with AWS services (including S3 and Lambda)
• Solid understanding of data warehousing and data modelling
• Experience with GitHub and CI/CD practices

Nice to Have

• Exposure to analytics engineering or machine learning pipelines

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Job Description:

• The is a 6 – month contract
• Our client in the banking  is looking for a skilled, production-focused Front-End Developer to join their engineering team.

Responsibilities include:

• Modern Interface Engineering: Design, develop, and maintain clean, responsive, and highly interactive user interfaces using ReactJS and modern frameworks like NextJS.
• State & Data Management: Implement and optimize client-side state management architectures using Redux, Zustand, or equivalent libraries to handle complex financial workflows.
• Responsive Styling: Deliver pixel-perfect, scalable web components using advanced styling sheets (SASS/SCSS) and utility-first frameworks like TailwindCSS.
• Component Optimization: Ensure front-end components are built for maximum speed, scalability, cross-browser compatibility, and optimal Core Web Vitals.
• Legacy Modernisation Support: Collaborate with the team to support, maintain, and systematically modernize parts of our legacy front-end application landscape.
• Agile Collaboration: Participate actively in sprint planning, code reviews, and technical scoping sessions within a fast-paced DevSecOps pipeline.

Requirements include:

• Core Technical Stack: Strong, practical experience writing semantic, modern JavaScript/TypeScript with a deep focus on ReactJS, including routing ecosystems (e.g., NextJS, ReactRouter).
• State Management Depth: Proven ability to manage complex application states using modern tools like Redux, Zustand, or NGXS.
• Styling & Layout Mastery: Deep understanding of modern layout paradigms, CSS variables, preprocessors (SASS/SCSS), or utility libraries (TailwindCSS).
• The Angular Advantage (Bonus): Prior exposure or working knowledge of Angular is highly beneficial to help navigate and support our legacy FE applications, though it is not a strict dealbreaker.

Education & Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent proven portfolio/experience).
• Minimum 3–5 years of professional front-end engineering experience in a production environment.

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Job Purpose

• This is a 3 – month contract with our client in the banking sector
• We are looking for a capable, quality-driven SQL Developer / Data Engineer who loves turning complex data into seamless, high-performing pipelines.

Responsibilities include:

• Fuel the Pipeline: Support, maintain, and continuously optimize our existing data pipelines to ensure maximum efficiency.
• Uphold Data Standards: Structure data to meet strict compliance standards using robust metadata governance.
• Keep Code Clean: Maintain version control and code repositories while following the team's agreed-upon development life cycles.
• Champion Quality: Ensure data reliability and quality remain at the centre of every pipeline you touch.

Minimum requirements include:

• Experience: Minimum of 3 years of hands-on experience in Data Engineering.
• Core Tech Stack: Exceptional SQL skills and a deep understanding of 
• Data Modelling and Quality Assurance principles.
• The Bonus Point: Experience with Ab Initio is a massive plus (but not a dealbreaker).
• Process-Driven: Comfort with maintaining internal processes and adhering to structured development life cycles.

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Job Description:

• This is a 6 – month contract with our client in the banking sector.
• We are looking for a highly skilled Full Stack Developer who thrives at the intersection of robust backend development and modern cloud infrastructure. If you excel at building scalable Node.js applications and have deep expertise in managing containerized environments within Azure, we want to hear from you.

Core Stack & Requirements:

• Experience 5 - 6 years' experience
• Backend: Extensive hands-on experience with Node.js.
• Containerization & Orchestration: Strong proficiency with Docker, Kubernetes, and Azure AKS.
• CI/CD & Cloud: Deep understanding of Azure DevOps for seamless pipelines.
• Data & Logging: Experience managing search and analytics via Elastic Stack (ELK).

Nice-to-Have (Bonus Points):

• Experience with observability tools like Dynatrace or Grafana.