Latest Jobs at Praesignis

Role Purpose

• The Group Specialist – Strategic Organisational Change is responsible for designing and implementing strategic HR product and service-related change initiatives across the business. The role applies HR and change management expertise to support organisational transformation across product design, process re-imagination, technology enablement, digitalisation, service delivery and people change.

Key Responsibilities

Strategic Change Management

• Develop and implement integrated change management and communication strategies aligned to the HR Book of Work.
• Partner with business leaders, HR teams, Product Owners and stakeholders to drive successful organisational change.
• Design and deliver change solutions using communication, training, engagement, technology and process improvement initiatives.
• Measure change effectiveness and business impact, ensuring sustainable behavioural and mindset shifts.
• Coach stakeholders and build organisational change capability.
• Apply data, insights and best practices to continuously improve change strategies.

Delivery Management

• Leading the planning, prioritisation and implementation of people change initiatives.
• Conduct change readiness assessments and identify organisational impacts.
• Monitor change adoption, measure outcomes and manage change risks.
• Continuously improve change solutions based on performance insights.

 Finance, Risk & Governance

• Demonstrate business value and ROI of change initiatives.
• Manage change budgets and provide input into business cases.
• Ensure compliance with organisational governance, policies and regulatory standards.
• Identify and mitigate change risks while delivering initiatives on time and within budget.

People

• Coach and mentor leaders, Product Owners and peers on change management.
• Support frontline change teams as a subject matter expert.
• Conduct peer reviews and contribute to continuous improvement.

Minimum Qualifications

• Relevant Bachelor's Degree (or studying towards completion) in Humanities, Commerce or a related field.

Experience Required

• 5–8 years' experience delivering organisational and people change initiatives.  
• Proven experience supporting Enterprise HR products and services across people, process and systems.
• Experience in digital business models and Agile transformations is advantageous.
• Strong stakeholder engagement, facilitation and business partnering experience.
• Demonstrated expertise in organisational change management and HR.
• Proven experience designing and delivering strategic change communications.
• Strong analytical, diagnostic and problem-solving skills.
• Track record of delivering measurable business impact and sustainable behavioural change.

Preferred

• Agile mindset.
• Agile/Scrum certifications (Certified Scrum Master, Certified Product Owner or SAFe SM/PO) are advantageous.
• Experience facilitating executive workshops, design thinking sessions and organisational transformation initiatives.
• Ability to manage multiple projects in a fast-paced environment while promoting collaboration, diversity and inclusion.
   

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Job Description

• Our banking client is seeking an experienced Cloud Data Engineer to design, develop and optimise scalable data pipelines and cloud-based data platforms. The successful candidate will build and maintain high-performance data solutions that support analytics, machine learning and real-time reporting across the enterprise.

Key Responsibilities:

• Design, build and maintain scalable ETL/ELT data pipelines.
• Develop data solutions using Microsoft Fabric, Azure Data Factory, Databricks, PySpark and SQL.
• Support Data Lakes, Data Warehouses and real-time data ingestion.
• Implement DataOps, CI/CD and Infrastructure as Code (IaC).
• Ensure data quality, governance, security and metadata management.
• Collaborate with Data Scientists, Business Analysts, Architects and Software Engineers.
• Provide production support and continuously improve data engineering practices.

Minimum requirements:

• Bachelor's Degree in IT, Computer Science or a related field.
• 2–5+ years' experience in Data Engineering or Business Intelligence.

Strong experience with:

• Microsoft Fabric
• Azure Data Factory
• Databricks
• Python & PySpark
• SQL
• Apache Spark
• Azure Synapse
• ETL/ELT
• Data Warehousing & Data Lakes
• CI/CD & DataOps
• Kafka / Azure Event Hub (advantageous)

Key Skills:

• Azure Cloud Data Platform
• Data Engineering
• Data Pipeline Development
• Data Modelling
• Data Integration
• Data Governance
• Problem Solving
• Agile Delivery

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Job Description

• Our client in the banking sector is looking for an experienced Cloud Architect to lead the design and implementation of secure, scalable and resilient cloud solutions that support enterprise-wide digital transformation.

Key Responsibilities:

• Define and drive the enterprise cloud strategy and architecture roadmap.
• Design secure, scalable and highly available cloud solutions.
• Lead cloud migration and application modernisation initiatives.
• Establish cloud governance, architecture standards and best practices.
• Drive cloud security, compliance and risk management.
• Promote automation, Infrastructure as Code (IaC), DevOps and cloud cost optimisation.
• Collaborate with business, engineering and security teams to deliver strategic cloud initiatives.
• Mentor technical teams and provide architectural leadership.

Minimum requirements:

• Bachelor's Degree in Computer Science, Information Technology, Engineering or a related field.
• 8–12 years' IT experience, including at least 5 years in a Cloud Architect role.
• Proven experience designing and implementing enterprise cloud solutions.
• Experience with cloud migration, hybrid cloud and multi-cloud environments.
• Financial services or banking experience will be advantageous.

Technical Skills:

• Microsoft Azure (preferred)
• AWS
• Google Cloud Platform (GCP)
• Kubernetes & Docker
• Terraform, Bicep & Ansible
• Azure DevOps, GitHub & CI/CD
• Infrastructure as Code (IaC)
• PowerShell & Python
• Cloud Security & Identity Management
• Microsoft Fabric, Azure Databricks & Azure Synapse

Preferred Certifications:

• Microsoft Certified: Azure Solutions Architect Expert
• AWS Certified Solutions Architect – Professional
• Google Professional Cloud Architect
• TOGAF
• Certified Kubernetes Administrator (CKA)
• FinOps Practitioner

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Job Description

• We are seeking an Analytical Engineer to transform complex, raw data into structured, governed, and analytics-ready datasets that enable advanced reporting, meaningful insights and data-driven decision-making across the organisation.
• This role bridges the gap between Data Engineering and Analytics by combining strong data modelling, data transformation and analytical expertise to design and deliver high-quality enterprise data products.

Key Responsibilities

Data Modelling & Design

• Design and implement scalable data models (e.g., dimensional and Data Vault) to support analytical use cases.
• Ensure alignment to enterprise data architecture and modelling standards.

Data Transformation & Engineering

• Develop and maintain ETL/ELT processes to ingest, cleanse, and transform data from multiple sources into trusted datasets.
• Deliver curated, analytics-ready data layers for consumption by downstream users.

Analytics Enablement

• Enable business intelligence, reporting, and advanced analytics use cases through high-quality data provisioning.
• Partner with data scientists and analysts to support modelling, insights, and data-driven decision-making.

Data Quality, Governance & Controls

• Ensure data integrity, lineage, and consistency across datasets.
• Apply governance frameworks and standards to support auditability and regulatory compliance.

Stakeholder Collaboration

• Engage with business and technical stakeholders to translate requirements into data solutions.
• Support delivery within cross-functional squads aligned to enterprise data products.

Required Skills & Experience

• Strong experience in data modelling (Data Vault, dimensional modelling)
• Proficiency in SQL and Python for data transformation and analysis
• Experience with modern data platforms (e.g., Azure, Databricks, Microsoft Fabric)
• Solid understanding of data warehousing, ETL/ELT, and analytics pipelines
• Familiarity with data governance, quality frameworks, and lineage
• Proven ability to combine engineering discipline with analytical problem-solving

Key Competencies

• Analytical thinking and problem-solving
• Attention to data quality and detail
• Strong stakeholder engagement and communication
• Delivery focus within agile environments
• Governance and compliance awareness

Deliverables / Success Measures

• Delivery of trusted, analytics-ready datasets aligned to business requirements
• Implementation of scalable and reusable data models
• Adherence to enterprise data governance and quality standards
• Enablement of timely and accurate reporting and analytics outcomes
• Contribution to data product delivery within GDA squads

Nice-to-Have

• Experience in banking or financial services data environments
• Exposure to real-time/streaming data processing frameworks
• Understanding of DataOps and CI/CD practices
• Certification in data modelling or cloud platforms