Latest Jobs at DeARX Services (Pty) Ltd

• We're looking for a BPM Developer who can design, build, and optimise intelligent business processes using tools like IBM Business Automation Workflow and Camunda.
• This role sits at the intersection of software engineering, workflow automation, and AI, where your work directly improves how a business operates every day.

What You'll Be Doing

You'll be the person who makes things work better:

• Design and build automated workflows that simplify complex processes
• Develop scalable, production-ready software components
• Orchestrate systems using BPM tools, APIs, and microservices
• Integrate event-driven solutions using Kafka/Confluent
• Apply AI-driven insights to optimise processes and decision-making
• Troubleshoot, fix, and continuously improve systems
• Collaborate with product owners, designers, and engineers to deliver great solutions

Your Toolbox

You're comfortable working with:

• Java (11+), Spring Boot, REST APIs
• BPM platforms (IBM BPM / BAW or Camunda 7/8)
• BPMN 2.0 / DMN modelling
• Kafka / Confluent (event streaming)
• Git and CI/CD pipelines (Azure DevOps)
• Microservices and modern architecture
• Bonus: Experience with AI-driven automation or exposure to banking environments.

What Makes You a Great Fit

• 5+ years experience in BPM and software development
• Strong hands-on experience with IBM BPM/BAW or Camunda
• You can take a business problem and turn it into a working, automated solution
• You think beyond code — you think in systems and processes
• You're proactive, collaborative, and always looking to improve

The Essentials

• Diploma in Computer Science / IT / Software Engineering
• Degree is a plus
• Certifications in Camunda, Kafka, or Azure (AZ-900 / AZ-104 / AZ-204) are advantageous

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• Are you the kind of HR professional who can balance strategy with empathy, data with intuition, and policies with people? Do you enjoy being the calm in the storm during employee relations cases and the spark behind culture and performance?
• Then this role might be exactly what you've been looking for.

What You'll Be Doing

• You won't just be supporting HR — you'll be embedded in the business, partnering with leaders to shape people strategies that actually make an impact.

You'll:

• Partner with leadership to translate business goals into practical, people-focused solutions
• Own the full employee lifecycle – from onboarding to offboarding (and everything in between)
• Be the go-to advisor on performance, talent, succession, and engagement
• Independently manage employee relations cases (misconduct, grievances, performance issues)
• Use data and insights to spot trends, risks, and opportunities before they become problems
• Lead meaningful conversations – performance reviews, talent discussions, and change initiatives
• Support organisational change, restructuring, and transformation projects
• Help build a high-performance, values-driven culture

What You Bring to the Table

Qualifications:

• Bachelor's Degree in HR, Industrial Psychology, Labour Relations, or related field (essential)
• Honours Degree (nice to have)

Experience:

• 3–5 years in an HR Generalist or HR Business Partner role
• Solid experience handling employee relations independently
• Exposure to performance & talent management processes
• Experience in financial services or asset management? Big plus!

Bonus Points If You Have:

• SABPP registration
• Change Management certification
• Coaching certification
• Enneagram or Insights accreditation

What Makes You a Great Fit

• You're proactive, not reactive – you spot issues before they escalate
• You're credible and confident, able to engage with stakeholders at all levels
• You balance empathy with objectivity when handling sensitive matters
• You're data-driven, but never lose sight of the human side
• You thrive in a fast-paced, ever-changing environment

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• We are seeking an experienced Senior Data Modeller to join a leading banking institution in Sandton. We want a strategic thinker who understands both data and banking, with the ability to engage confidently with business stakeholders, challenge assumptions, and design scalable data models that deliver meaningful business insights.
• In this role, you will lead the design and evolution of enterprise-grade dimensional models within a modern Enterprise Data Warehouse environment, ensuring trusted, high-quality data that supports reporting, analytics, and enterprise decision-making. This opportunity is ideal for a seasoned professional with strong Banking experience, advanced Kimball dimensional modelling expertise, and a passion for data quality, governance, and best practices.

What You'll Be Doing

Enterprise Data Modelling

• Lead the design and maintenance of enterprise-scale dimensional data models using Kimball methodology.
• Design robust fact tables, dimensions, conformed dimensions, and surrogate key strategies.
• Ensure data models are scalable, reusable, and aligned to enterprise reporting and analytics requirements.
• Continuously improve existing models to enhance performance, usability, and business value.

Data Warehouse & Analytics Excellence

• Develop and optimize complex SQL solutions within Amazon Redshift environments.
• Profile, analyse, and validate source data to support modelling decisions.
• Partner with Data Engineers, BI Developers, Analysts, and Architects to deliver high-quality analytical solutions.
• Drive best practices in data modelling, data quality, and enterprise reporting.

Business & Stakeholder Engagement

• Facilitate requirements gathering and data modelling workshops with business stakeholders.
• Translate banking business processes, KPIs, and reporting requirements into scalable dimensional models.
• Serve as a trusted advisor to business users and analytics teams, ensuring data is understood, trusted, and effectively utilized.
• Communicate complex technical concepts in a clear and business-friendly manner.

Governance & Leadership

• Establish and maintain modelling standards, naming conventions, and design frameworks.
• Support data governance initiatives, lineage, metadata management, and enterprise data consistency.
• Mentor junior team members and provide guidance on modelling and SQL best practices.
• Contribute to strategic data architecture and enterprise data management decisions.

Requirements

• 8–10 years of Data Modelling and Data Warehousing experience.
• Minimum 5 years of Banking and Telecommunications industry experience.
• Advanced expertise in Kimball Dimensional Modelling.
• Extensive experience designing enterprise-scale dimensional models across multiple business domains.
• Strong understanding of Enterprise Data Warehousing concepts and architecture.
• Advanced SQL development and query optimization skills.
• Hands-on experience with Amazon Redshift or similar analytical database platforms.
• Strong understanding of ETL/ELT processes, data pipelines, and analytical data platforms.
• Experience working with large volumes of data in complex reporting environments.

Additional Advantageous Skills

• AWS Data Services including S3, Glue, and Athena.
• Data Governance, Metadata Management, and Data Catalog solutions.
• Business Intelligence platforms and semantic modelling layers.
• Agile delivery methodologies and product-based data teams.

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• Our client, a leading bank based in Sandton, is seeking an experienced Analytical Engineer to join their enterprise data team on a 12-month contract. This role is ideal for a data professional who combines strong Data Engineering, Data Analysis, and Data Modelling expertise and enjoys transforming complex business requirements into trusted, analytics-ready data solutions.
• The successful candidate will play a key role in enabling enterprise reporting, analytics, and data-driven decision-making by designing scalable data models, building robust data transformation pipelines, and ensuring data quality and governance standards are maintained.

Key Responsibilities

Data Modelling & Design

• Design and implement scalable Data Vault 2.0 and Dimensional Data Models to support reporting and analytics requirements.
• Ensure alignment with enterprise data architecture, modelling standards, and best practices.
• Develop reusable and sustainable data structures that support business and regulatory requirements.

Data Engineering & Transformation

• Develop and maintain ETL/ELT processes to ingest, cleanse, transform, and integrate data from multiple source systems.
• Deliver curated, analytics-ready datasets for business intelligence, reporting, and advanced analytics.
• Optimise data pipelines and data processing performance within enterprise data platforms.

Analytics Enablement

• Partner with business stakeholders, analysts, and data scientists to deliver trusted data assets.
• Perform data profiling, validation, and analysis to ensure accuracy and reliability.
• Support data-driven decision-making through the provision of high-quality data products.

Data Governance & Quality

• Ensure data integrity, consistency, lineage, and auditability across data assets.
• Apply enterprise data governance frameworks and quality controls.
• Support compliance with banking, regulatory, and governance requirements.

Stakeholder Engagement

• Collaborate with business and technical stakeholders to understand requirements and translate them into effective data solutions.
• Participate in Agile delivery teams and contribute to enterprise data product initiatives.
• Bridge the gap between business requirements and technical implementation.

Minimum Requirements

Proven experience in Data Modelling, including:

• Data Vault 2.0
• Dimensional Modelling (Kimball Methodology)
• Advanced SQL skills for data transformation, optimisation, and analysis.
• Strong Python experience for data engineering and analytics.

Experience working with modern cloud data platforms such as:

• Azure
• Databricks
• Microsoft Fabric

Strong understanding of:

• Enterprise Data Warehousing
• ETL/ELT Processes
• Data Pipelines
• Analytics and Reporting Solutions
• Experience with data governance, data quality frameworks, lineage, and metadata management.
• Strong stakeholder engagement and communication skills.
• Experience working within Agile delivery environments.

Preferred Experience

• Banking or financial services industry experience.
• Exposure to real-time or streaming data processing frameworks.
• Knowledge of DataOps, DevOps, and CI/CD practices.
• Relevant certifications in Data Modelling, Azure, Databricks, Microsoft Fabric, or Cloud Data Engineering.

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• We are seeking an experienced Solution Architect for a 6-month contract based in Sandton. The successful candidate will be responsible for end-to-end application systems design, ensuring that solution architecture aligns with business strategy, technical standards, and optimal resource utilisation.
• This role requires strong Java backend development expertise combined with solid solution architecture experience in complex enterprise environments.

Key Responsibilities

• Design and oversee end-to-end application architecture solutions aligned to business and IT strategy
• Translate business requirements into scalable, secure, and high-performing technical solutions
• Ensure architectural integrity across systems, platforms, and integrations
• Balance functional requirements with technical constraints and resource optimisation
• Provide technical leadership and guidance to development teams
• Evaluate and recommend modern architectural patterns, frameworks, and technologies
• Ensure adherence to enterprise architecture standards and governance frameworks
• Collaborate with stakeholders including business analysts, developers, and infrastructure teams

Minimum Requirements

• 8+ years' experience in software development and solution architecture
• Strong background in Java backend development
• Hands-on experience with J2EE and/or Spring Boot (Advanced level)
• Proven experience designing enterprise-scale systems
• Strong understanding of integration patterns, APIs, and microservices architecture
• Experience working within financial services or large enterprise environments advantageous

Technical Skills

• Java (J2EE / Spring Boot – Advanced)
• RESTful API design and integration
• Microservices architecture
• System design and application architecture
• Cloud and/or hybrid architecture exposure (advantageous)
• Database design and data flow architecture
• DevOps and CI/CD understanding (beneficial)