Contract Jobs at Ovations Technologies

Job Description:

• This is a 12 – month contract with our client in the banking sector. The working model is hybrid – 3 days at the office.
• We are seeking a Senior DevOps & Site Reliability Engineer for our client in the banking sector to design, build, and maintain highly available, scalable, secure, and automated cloud platforms for mission-critical applications. This role combines software engineering, platform engineering, cloud infrastructure, and observability to drive operational excellence, system resilience, and rapid deployment velocity across delivery teams.

Key Responsibilities

• Platform Engineering & IaC: Design and build cloud-native infrastructure, automated provisioning workflows, and reusable deployment templates.
• DevOps & DevSecOps: Build CI/CD pipelines with integrated automated testing and security controls to enable secure, zero-downtime releases and rollback capabilities.
• Site Reliability & Observability: Establish SLIs, SLOs, and SLAs; reduce MTTD and MTTR through logging, metrics, and alerting; and lead incident response and root-cause analysis.
• Cloud Operations & Cost Optimization: Manage high-availability and disaster recovery setups while continuously optimizing system performance, security, and cloud expenditure.
• Leadership & Strategy: Provide technical leadership, mentor junior engineers, and champion engineering best practices across cross-functional delivery teams.

Minimum Requirements

• Education: Preferred bachelor's degree in computer science, IT, Software Engineering, Information Systems, or an equivalent technical qualification.

Experience:

• 8+ years of experience in software engineering, infrastructure, cloud, DevOps, or platform engineering.
• 5+ years of hands-on DevOps engineering experience.
• 3+ years in SRE or production operations managing large-scale, mission-critical enterprise systems.
• CI/CD & Containers: Hands-on experience with Azure DevOps, GitHub, Jenkins, Docker, Kubernetes, and Helm.
• Observability & Scripting: Strong knowledge of monitoring tools (Dynatrace, Grafana, Prometheus, Azure Monitor) and scripting/programming in Python, PowerShell, Bash, C#, or Java.

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Job Description:

• This is a 6 – 12-month contract with our client in the consulting industry
• We are looking for a hands-on Database Engineer (SQL) to build and execute the SQL transformation layer in AWS RDS for an enterprise legacy data migration project.

Key Responsibilities

• SQL Data Transformation: Write, test, and execute transformation scripts directly within AWS RDS to convert legacy data into required import formats.
• Data Reconciliation & Audit: Perform row-count checks, key-field reconciliations, and referential integrity validations before generating import files.
• Document Mapping Support: Assist in extracting and linking unstructured files (incident photos, inspection PDFs) to their corresponding migrated records via file shares.
• Reusable Script Framework: Develop a modular transformation framework that can be reused across multiple legacy system migration waves.
• Governance & Lineage: Document mapping logic, transformation rules, and data lineage to maintain complete audit readiness.
• Stakeholder Collaboration: Work closely with System Leads, internal IT, and platform vendors to validate data schemas and obtain signoffs.

Minimum Requirements

• Advanced SQL: Proven expertise writing, tuning, and troubleshooting complex data transformation queries in relational databases.
• AWS RDS & S3: Hands-on experience executing transformation logic directly inside AWS RDS and using S3 for staging.
• Enterprise ETL/Migration: Demonstrated experience extracting, cleansing, and mapping structured data between enterprise schemas under strict project timelines.
• Document & Metadata Linkage: Practical experience linking unstructured files (PDFs, images) to relational database records.
• Data Quality & Reconciliation: Strict adherence to data auditing standards, row-count verifications, and using Excel-based mapping templates.

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About the Role

• We are looking for a BI / Analytics Engineer to design and build an adaptable reporting layer for a new enterprise Sustainability Management System (SMS). You will convert raw platform data into decision-ready dashboards used by site operators and C-suite executives (ExCo/SteerCo).

Key Responsibilities

• Dashboard Development: Build leading-indicator (control verification, safety routines) and lagging-metric (TRIFR, LTIFR) dashboards using Power BI or Tableau.
• Executive & Site Views: Design concise, "at-a-glance" executive scorecards alongside detailed operational views for frontline site teams.
• Data Modelling & Governance: Work with Data Engineers to build canonical data models (lookups, mapping tables) and document report logic, data lineage, and refresh schedules.
• Portable Architecture: Structure the reporting layer for portability to support a future transition to a Lakehouse data platform.
• Stakeholder Support: Partner with Health, Environment, and Social Performance leads to resolve data discrepancies and standardize KPIs.

Minimum Requirements

• BI Tooling: Advanced expertise in Power BI and/or Tableau.
• Data Modelling & SQL: Strong SQL skills with experience building canonical staging models and star schemas.
• SaaS Integration: Experience extracting and modelling data from SaaS platform APIs and flat exports.
• Audience Adaptability: Proven ability to tailor dashboard layouts for both operational teams and executive leadership.
• Governance Discipline: Strict habits around metric standardization, logic documentation, and audit readiness.
   

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• We are looking for an AI Engineer to design, build and deploy scalable AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry.
• This is an exciting opportunity to work on Generative AI, AI agents, RAG pipelines and enterprise AI integrations, helping automate business processes and deliver innovative AI use cases.

Key Responsibilities:

• Design and develop AI agents and copilots using Microsoft Copilot Studio
• Build AI solutions and orchestration pipelines using Azure AI Foundry
• Develop agent-based architectures, multi-step workflows and GenAI solutions
• Build and optimise RAG pipelines
• Integrate AI solutions with enterprise systems through APIs, connectors, microservices and data platforms
• Deploy AI agents across Microsoft Teams and Power Platform
• Implement security, governance, monitoring and responsible AI practices
• Optimise model performance, cost and response accuracy
• Mentor team members and contribute to AI frameworks and best practices

Must-Have Experience:

• 1–3 years hands-on experience with Microsoft Copilot Studio
• 1–3 years hands-on experience with Azure AI Foundry
• Experience building and deploying AI/ML or Generative AI solutions
• Experience with AI agents / conversational AI
• Strong Python and API integration skills
• Experience with Prompt Engineering, RAG, model evaluation and tuning
• Knowledge of Azure, SQL, APIs and data lakes
• Experience with GitHub, CI/CD, DevOps and Agile/SAFe
• If you have hands-on experience with Copilot Studio + Azure AI Foundry and are passionate about building enterprise AI solutions, we'd love to hear from you

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• We are looking for a Senior Systems Engineer – Kafka Platform Specialist to take ownership of the reliability, security, performance, and automation of a production event-streaming environment.

What You'll Do:

• Operate and support production Kafka platforms, including monitoring, incident response, troubleshooting and performance tuning
• Plan and execute Kafka upgrades, patching and lifecycle activities
• Design scalable, resilient and secure Kafka architectures
• Automate infrastructure and operational processes using DevOps and IaC
• Partner with application teams to onboard workloads and improve platform standards

What We're Looking For:

• 6+ years of Systems / Platform Engineering experience
• 4+ years hands-on Kafka administration
• Experience with Confluent Platform and/or Confluent Cloud
• Strong Python/Bash scripting and automation skills
• Experience with CI/CD, Terraform and/or Ansible
• Strong Linux administration and troubleshooting skills
• Azure Cloud experience preferred
• Strong understanding of Kafka security: TLS/SSL, SASL and ACLs
• Experience with observability tools such as Prometheus, Grafana, ELK, Splunk or Azure Monitor
   

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• We are looking for a Senior File Transfer Engineer with strong IBM Sterling File Gateway (SFG) experience to design, implement, support and optimise secure enterprise file transfer solutions.
• This role is ideal for an experienced MFT specialist who can take ownership of SFG environments, troubleshoot complex file transfer issues, support trading partners and ensure secure, reliable and compliant data exchange.

Key Responsibilities

• Design and implement scalable, secure and reliable IBM SFG solutions
• Install, configure, maintain and optimise IBM Sterling File Gateway environments
• Manage trading partner onboarding, profiles, routing channels and document flows
• Configure and troubleshoot protocols including SFTP, AS2, FTP and HTTP
• Monitor file transfer operations and resolve complex production incidents
• Perform root-cause analysis, log analysis and advanced troubleshooting
• Manage certificates, encryption, authentication and access controls
• Integrate SFG with enterprise applications and middleware platforms
• Develop Shell/Python scripts and automation to streamline file transfer processes
• Plan and execute upgrades, patches and migrations
• Perform capacity planning and performance optimisation
• Support audit, reporting and compliance requirements
• Maintain technical documentation and provide mentoring and knowledge transfer
• Collaborate with application teams, business stakeholders and external trading partners

What We're Looking For

• Strong hands-on experience with IBM Sterling File Gateway (SFG)
• Experience with Managed File Transfer (MFT) solutions
• Strong knowledge of SFTP, AS2, FTP, HTTP and secure file transfer protocols
• Experience with partner onboarding, routing channels and document flows
• Strong understanding of networking, firewalls, encryption and security
• Scripting experience with Shell, Python or similar
• Strong troubleshooting and incident management skills
• Experience with system integration and enterprise applications
• Understanding of audit, compliance and data protection requirements
• Excellent communication and stakeholder management skills
• Ability to work independently and lead technical initiatives

Key Focus Areas

• IBM SFG | MFT | Trading Partner Onboarding | SFTP | AS2 | File Transfer | Routing | Certificates | Security | Automation | Troubleshooting | Integration

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• We are looking for a Senior Business Process Manager to drive operational excellence and lead process transformation initiatives. In this role, you will partner with senior stakeholders to analyze end-to-end operating models, implement advanced BPM and automation solutions, and optimize business performance.

Core Responsibilities

• Strategy & Consultation: Engage with senior business leaders to prioritize process initiatives, define target operating models, and map cross-functional value chains.
• Initiative Execution: Scope, plan, and deliver process transformation projects on time and within budget, ensuring alignment with enterprise risk appetites.
• Process Engineering: Conduct As-Is/To-Be analysis, design optimization workflows, and build business cases with clear ROI and benefit realization metrics.
• Technology & Automation: Collaborate with data and enterprise architects to implement BPMS, RPA, and data analytics tools for process automation and performance tracking.
• Change Management: Develop change strategies and communication plans to mitigate cross-organizational impacts and drive solution adoption.

Minimum Requirements

• Education: NQF Level 7 Degree or Advanced Diploma (Industrial Engineering, Computer Science, Information Systems, or Business Management preferred).

Experience:

• 7 to 10 years of overall experience in Business Process Management or Process Engineering.
• 3 to 5 years of managerial or team leadership experience driving process improvement engagements.
• Certifications (Preferred): Lean / Six Sigma, CBPP, or Business Analysis certifications.
• Technical Skills: Hands-on proficiency in BPM/BPMS tools, process mapping, RPA integration, and process analytics frameworks.
   

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• We are looking for a Specialist: App Campaign Operations & Journey Execution to support the centralized execution of approved CVM, Loyalty and App promotional engagements across multiple operating companies.
• This is an execution-focused and process-driven role, responsible for campaign deployment, workflow administration, customer journey documentation, operational governance, testing support and execution reporting.

 Key Responsibilities

• Execute approved CVM, Loyalty and App promotional campaigns.
• Configure push notifications, in-app messages, service notifications, loyalty communications and promotional messages.
• Support customer engagement initiatives including feature launches, app updates, fraud and security communications, gamification and event-triggered engagement.
• Upload and validate audience files, including format and customer identifier checks.
• Manage campaign templates, schedules, approvals, test sends and deployment activities.
• Monitor campaign outcomes, failed messages, partial dispatches and execution anomalies.
• Document customer engagement journeys across onboarding, activation, app adoption, loyalty, retention, reactivation and promotional use cases.
• Maintain journey maps, communication flows, trigger points and operational dependencies.
• Develop and maintain SOPs, campaign checklists, operational guides and execution playbooks.
• Maintain campaign logs, decision records, deployment evidence, sign-offs, UAT evidence and audit trails.
• Conduct pre-deployment checks and support UAT and release activities.
• Log defects, track resolution and coordinate with Product, QA and Technology teams.
• Prepare weekly execution status reports and maintain campaign trackers.
• Participate in sprint planning, stand-ups, campaign readiness reviews, retrospectives, demos and showcases.

Requirements

Education:

• Bachelor's Degree in Marketing, Business Management, Commerce, Information Systems, Digital Marketing, Customer Management, Data Analytics or a related discipline.

Experience:

• Approximately 3–4 years' hands-on experience in:
• Campaign Operations
• CRM Operations
• Mobile App Engagement
• Loyalty Operations
• Marketing Automation Execution

Technical & Functional Skills

• Hands-on experience configuring, scheduling, deploying and monitoring campaigns on customer engagement, CRM, mobile engagement, notification or marketing automation platforms.

Experience with platforms such as:

• Flytxt Neon-dX
• Salesforce Marketing Cloud
• Adobe Campaign
• Braze
• MoEngage
• CleverTap
• Firebase Cloud Messaging
• HubSpot Marketing Hub
• Iterable
• Microsoft Dynamics 365 Customer Insights
• Comviva
• Experience managing audience uploads, campaign briefs, templates and campaign calendars.
• Experience with approval workflows, dispatch monitoring and post-deployment reporting.
• Experience documenting customer journeys, campaign workflows, SOPs, operational runbooks and governance records.
• Understanding of push notifications, in-app messaging, app promotional campaigns, loyalty communications and lifecycle engagement journeys.

Key Competencies

We are looking for someone with:

• Strong attention to detail
• Excellent execution discipline
• Strong stakeholder coordination
• Quality assurance mindset
• Ability to work across multiple markets
• Strong documentation and organisational skills
• Ability to work in an Agile, delivery-focused environment

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• The primary requirement remains data analytics, including the ability to analyse complex datasets, develop data models, build reporting solutions, and translate business requirements into technical solutions. In addition, the resource should be comfortable developing user-facing applications and integrating these applications with data platforms and analytical solutions.

The preferred technical requirements are as follows:

• Cloud and data platform: Microsoft Azure and Microsoft Fabric
• Frontend development: React
• Backend development: No specific technology preference, provided the candidate has experience developing APIs, backend services, and application integrations
• Databases and data storage: Strong SQL skills and experience working with relational databases, data warehouses, lakehouses, and cloud-based data platforms
• Data engineering: Experience building data pipelines, performing data transformations, integrating multiple data sources, and managing data quality
• Software development: Experience developing end-to-end applications, integrating frontend and backend components, and applying appropriate software development practices
• Integration: Experience connecting applications to APIs, databases, Microsoft Fabric, Power BI, and other Azure services
• DevOps: Exposure to Git, version control, CI/CD, deployment processes, and application support would be beneficial
• The ideal candidate does not need to be a specialist full-stack developer. We are looking for a strong data professional who can also develop lightweight applications, interfaces, and APIs around data and analytics solutions.
• The profile could therefore be positioned as a Data Analyst / Analytics Engineer with Full-Stack Development Experience, rather than a traditional Data Analyst or pure Full-Stack Developer.

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Role Overview

• We are looking for a Senior Data Scientist,for our client in the banking sector, for a 12-month contract to build and optimize end-to-end machine learning, AI, and decisioning solutions across Personal & Private Banking (PPB) and Digital channels. Leveraging the Databricks platform, you will focus on feature engineering, predictive modelling, experimentation, and decision science to deliver scalable analytical assets.

Key Responsibilities

• Model Development & GenAI: Design, train, and optimize ML/AI models (customer propensity, next-best-action, risk, fraud, and GenAI use cases) using Databricks and MLflow.
• Feature Engineering & Governance: Build and maintain reusable enterprise feature pipelines using Databricks Feature Store and Delta tables with full quality and lineage controls.
• Decisioning & Optimization: Develop decision science models to enhance customer acquisition, engagement, cross-sell strategies, and operational outcomes.
• Monitoring & Governance: Monitor model performance, stability, and drift; produce complete model documentation and governance artifacts for risk compliance.
• Stakeholder Collaboration: Partner with PPB, Digital, Risk, and MLOps teams to translate business needs into production-ready analytical solutions.

Minimum Requirements

• Education: Degree in Data Science, Computer Science, Engineering, Mathematical Statistics, Actuarial Science, Econometrics, or a quantitative field.
• Databricks Stack: Hands-on experience using Databricks (Notebooks, Workflows, MLflow, and Feature Store/Delta tables).
• Technical Skills: Strong proficiency in Python and SQL for large-scale data manipulation and machine learning.
• Domain Modelling: Proven experience building customer (propensity, next-best-action, retention) or operational/risk models in financial services.
• End-to-End Execution: Demonstrated track record of feature engineering, model tuning, validation, governance, and productionizing models alongside engineering teams.