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Technical Lead / Senior Data Engineer - Azure (Consulting)

Join a high-performing, award-winning Microsoft Partner as they continue to scale their Data capability across enterprise clients undergoing large-scale digital transformation.

This is a leadership-focused opportunity for a senior data professional who wants to play a key role in shaping data solutions, influencing technical direction, and mentoring talent within a collaborative, Azure-first environment.

Working with top-tier clients, you will lead the design and delivery of modern data platforms, partnering with Azure specialists and stakeholders to drive best-in-class outcomes.

The business is deeply invested in developing its people - not just technically, but as well-rounded leaders within the consulting space.

Role & Responsibilities

* Take ownership of end-to-end data engineering solutions, from architecture through to delivery and optimisation
* Lead the design, build, and evolution of scalable Azure data platforms (including data pipelines, ETL processes, and curated data models)
* Provide technical leadership and guidance to engineers within the team, championing best practices and high-quality delivery standards
* Oversee deployment strategies and ensure robust, scalable solutions are delivered into production environments
* Manage and optimise Azure data services across environments, ensuring reliability, performance, and governance
* Partner closely with BI and Analytics teams, translating business requirements into effective data solutions and data marts
* Act as a trusted advisor to clients, contributing to solution design and driving data strategy conversations

Skills & Experience

* Strong SQL expertise with a proven track record in data engineering and solution delivery
* Deep experience with Azure Data Factory and the wider Azure data ecosystem
* Strong grounding in data warehousing concepts, Fabric & Or Snowflake.
* Previous consulting experience, with exposure to client-facing delivery and stakeholder engagement
* Demonstrated ability to lead projects, mentor team members, and influence technical decisions

Benefits

* Annual bonus scheme
* 100% remote working
* Employer pension contribution
* Fully funded Microsoft certifications
* 20 days annual leave + bank holidays

To apply, please send your CV to e.townsend@tenthrevolution.com

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in South Africa, offering more opportunities across the country than any other.

D365 Finance & Operations Developer

📍 100% Remote | ⏳ Long‑term Contract | 🌍 Global Consultancy

My client, a global consultancy, is seeking an experienced Dynamics 365 Finance & Operations Developer to join their team on a long‑term, fully remote contract.

You'll work on project‑based implementations, delivering high‑quality D365 F&O solutions using best practice development standards and object‑oriented programming. The role sits within a dedicated delivery team, with a strong focus on finance‑centric modules.

Key Responsibilities

* Design, develop, and implement D365 F&O solutions
* Build high‑quality, scalable customisations following Microsoft best practices
* Collaborate with functional consultants and technical team members
* Contribute across the full project lifecycle (SDLC)
* Support finance‑focused implementations and integrations

Required Experience

* 5+ years Dynamics AX / D365 consulting experience
* 3+ years hands‑on D365 Finance & Operations development
* Proven delivery across full end‑to‑end D365 F&O projects
* Strong understanding of OOP and development best practices

Desirable

* Experience within Finance and Distribution modules
* Consultancy or multi‑project delivery background

Start Date

* July 2026
* Early applications encouraged due to project timelines

📩 To apply, or to discuss similar opportunities, please send your CV to
e.townsend@tenthrevolution.com

📞 For a confidential conversation, contact Emma on +44 (0)191 300 1817

We are looking for a skilled Data Scientist/ Data Analytics Engineer to join our consultancy client. They are looking for an experienced Enterprise Data Modeller to work on their clients data infrastructures and support AI and machine learning initiatives across various cloud platforms, including AWS and GCP. In this role, you will be integral to developing data pipelines and analytics solutions that directly impact business performance, while collaborating with cross-functional teams in a hybrid work setup of 2 days on site. Johannesburg or Cape Town based.

* Proficient in AWS services such as Redshift, S3, and Lambda, as well as GCP analytics tools
* Solid experience with data warehouse design and implementation
* Expertise in programming languages, preferably Python or SQL
* Familiarity with machine learning algorithms and their practical applications
* Understanding of data governance and compliance regulations

Key Responsibilities
Data Modelling & Architecture

* Design conceptual, logical and physical enterprise data models.
* Model complex business domains and large-scale datasets.
* Design schemas for transactional, analytical and AI workloads.
* Develop enterprise information models that enable reporting analytics and
machine-learning.
* Optimise enterprise data models for scalability, maintainability and performance.
Data Engineering
* Design and develop scalable ETL/ELT pipelines.
* Build reliable data ingestion pipelines for structured, semi-structured and
streaming data.
* Develop modern, cloud-based data platforms.
* Optimise data transformation, orchestration and storage.
* Support batch and real-time processing requirements.
* Ensure high levels of data quality and operational reliability.
Data Science & Machine Learning
* Develop statistical and machine learning models to solve business problems.
* Apply regression, classification, clustering, forecasting, anomaly detection and
optimisation techniques.
* Engineer features for production machine learning workloads.
* Evaluate, monitor and improve model performance.

Production Deployment
* Deploy machine learning solutions into production environments.
* Support model lifecycle management and monitoring.
* Work within established CI/CD deployment pipelines.
* Apply software engineering best practices to data and AI solutions.
* Build production APIs and inference services supporting AI and analytics
workloads.

Cloud-native Data Platforms
* Build and deploy data and AI solutions on Google Cloud Platform (preferred) or
AWS.
* Develop cloud-native data solutions using managed cloud services.
* Use Docker and modern software engineering practices to support deployments.

Technical Competencies
Programming
* Python (Expert)
* SQL (Expert)
* Bash/Shell
* Java or C/C++ advantageous

Enterprise Data Modelling
* Conceptual Data Modelling
* Logical Data Modelling
* Physical Data Modelling
* Enterprise Information Architecture
* Data Governance
* Data Lineage
* Metadata Management
* Data Quality
* Data Warehousing
* Dimensional Modelling

Data Engineering
* ETL/ELT
* Apache Kafka
* Airflow
* Pub/Sub
* BigQuery
* PostgreSQL
* Iceberg
* Parquet
* Streaming Data
* Data Warehousing

Machine Learning & Data Science
* Scikit-learn
* PyTorch
* XGBoost
* MLflow
* Vertex AI
* TensorFlow (advantageous)
* Statistical Modelling
* Time-series Forecasting
* Optimisation
* Feature Engineering

Cloud Technologies
* Google Cloud Platform (preferred)
* AWS
* Docker
* Git
* CI/CD Pipelines

Generative AI (Highly Desirable)
* Retrieval-Augmented Generation (RAG) Architectures
* LangChain / LangGraph
* Weaviate
* Model Context Protocol (MCP)
* LLM Evaluation

Essential Requirements
Intermediate

* Bachelor's degree or advanced degree in Computer Science, Data Science,
Statistics, Mathematics, Engineering or a related quantitative discipline.
* 4-6 years' experience in Data Engineering, Data Science or Machine
Learning Engineering.
* Demonstrated experience designing enterprise data models.
* Strong Python and SQL development skills.
* Experience building cloud-native data platforms.
* Experience deploying data or machine learning solutions into production.
* Experience working with Google Cloud Platform (preferred) or AWS.

Senior
* Bachelor's degree or advanced degree in Computer Science, Data Science,
Statistics, Mathematics, Engineering or a related quantitative discipline.
* Extensive experience designing enterprise data models for complex business
domains.
* Expert Python and SQL.
* Demonstrated ability to design enterprise data models for complex business
domains.
* Proven experience leading technical solution design.
* Experience mentoring engineers and contributing to architecture decisions.
* Experience working with Google Cloud Platform (preferred) or AWS.

Data Engineer- Azure- Consultant- Remote South Africa

You will be join an award winning Microsoft Partner as they look to grow out their BI & Data team. This role will utilise Azure technology stack as the various large corporate clients look to undergo a digital transformation.

The team are currently delivering a high quality of service to top tier clients. You will be working alongside Azure experts that you can collaborate with the deliver a high quality solution.

The business pride themselves on enabling its staff to develop both technical and non-technical skills.

Role & Responsibilities

* You will be supporting and maintaining data pipelines from operational systems into the data warehouse, including the ETL process and engineering of data into cleansed, structured models.
* Employ data projects are delivered to end users, using the correct deployment method.
* Administer, maintain, and monitor the Azure data platform across all environments.
* Interact with the BI/Analytics team to understand data needs and provision the necessary models and data marts.

Skills & Qualifications

* Strong background in SQL.
* Experience with Azure Data Factory.
* DAX Modelling.
* Previous Developer or Data Engineering experience at a consultancy.

Benefits

* Quarterly Bonus Scheme
* 100% Remote working
* Employer Pension plan.
* Paid for Microsoft Certs
* 20 days Holiday + public holidays

To apply for this role, please send an up to date CV to e.townsend@tenthrevolution.com

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in SA offering more opportunities across the country than any other.

About the Company

Join my client, a highly respected end-user environment known for its relaxed culture, long employee tenure, and strong focus on autonomy and trust. The business offers a collaborative and flexible working environment where employees are empowered to take ownership of their work and drive meaningful outcomes.

This is an opportunity to join a close-knit data team working on modern data engineering initiatives across Azure and private cloud environments, with regular exposure to emerging technologies and Microsoft ecosystem events.

Role Overview

We are looking for two experienced Data Engineers to join the team based in Midrand, Johannesburg. This role is suited to someone who enjoys building scalable data pipelines, working across cloud environments, and taking initiative to improve and automate processes wherever possible.

The ideal candidate will be technically strong, self-sufficient, and comfortable operating in a flexible, low-micromanagement environment. You should enjoy solving problems, owning delivery, and contributing beyond purely engineering tasks when needed, including light data modelling and analytics work.

Key Responsibilities

* Design, build, and maintain robust data pipelines and ETL processes
* Work with data hosted across Azure and private cloud environments
* Automate manual processes and improve pipeline efficiency proactively
* Collaborate with business and technical stakeholders to support data initiatives
* Assist with data modelling and analytics-related tasks where required
* Ensure data quality, reliability, and performance across platforms
* Contribute ideas and improvements within a highly autonomous team environment

Required Skills & Experience

* Strong SQL and Python development skills
* Proven experience building and maintaining data pipelines
* Experience working within cloud-based data environments
* Exposure to Azure technologies beneficial but not essential
* Familiarity with AI tooling such as Claude AI advantageous
* Comfortable working across both engineering and light data science/modelling tasks
* Strong initiative and ability to work independently without close supervision

Ideal Profile

* Pragmatic and solutions-driven
* Mature, sensible, and easy-going personality
* Someone who thrives in a relaxed but accountable environment
* Comfortable owning work end-to-end

What's on Offer

* Competitive salary
* Guaranteed 13th cheque
* Medical aid and pension benefits
* Flexible hybrid setup (typically 2 days onsite)
* Exposure to modern cloud and AI technologies
* Opportunity to attend Microsoft events and industry sessions regularly
* Stable, long-term career environment with excellent staff retention



Interview Process

1 Face-to-face introductory meeting with the CTO
2 Technical deep-dive discussion (no formal assessment)
3 Psychometric assessment and offer stage

Start Date

ASAP preferred, although candidates with notice periods and August availability will be considered.

Role: GCP data engineer

Description:

Role entails building and supporting data pipelines of which must be scalable, repeatable and secure. This role functions as a core member of an agile team whereby these professionals are responsible for the infrastructure that provides insights from raw data, handling and integrating diverse sources of data seamlessly. They enable solutions, by handling large volumes of data in batch and real-time by leveraging emerging technologies from both the big data and cloud spaces.

Additional responsibilities include developing proof of concepts and implements complex big data solutions with a focus on collecting, parsing, managing, analysing and visualising large datasets. They know how to apply technologies to solve the problems of working with large volumes of data in diverse formats to deliver innovative solutions. Data Engineering is a technical job that requires substantial expertise in a broad range of software development and programming fields.

These professionals have a knowledge of data analysis, end user requirements and business requirements analysis to develop a clear understanding of the business need and to incorporate these needs into a technical solution. They have a solid understanding of physical database design and the systems development lifecycle.



Responsibilities

* Architects Data analytics framework
* Translates complex functional and technical requirements into detailed architecture, design, and high performing software
* Leads Data and batch/real-time analytical solutions leveraging transformational technologies
* Works on multiple projects as a technical lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools
* Development and Operations
* Database Development and Operations
* Policies, Standards and Procedures
* Business Continuity & Disaster Recovery
* Research and Evaluation
* Creating data feeds from on-premise to AWS Cloud
* Support data feeds in production on break fix basis
* Creating data marts using Talend or similar ETL development tool
* Manipulating data using python
* Processing data using the Hadoop paradigm particularly using EMR, AWS's distribution of Hadoop
* Develop for Big Data and Business Intelligence including automated testing and deployment

Join a forward-thinking organisation as an AWS Data Engineer, where you will play a crucial role in leveraging cloud technologies to drive data-driven insights.

This permanent, hybrid position is ideal for a motivated individual who is eager to work with cutting-edge technologies. You will have the opportunity to engage with a diverse range of AWS products including AWS DevOps, AWS IaaS, AWS Data, and AWS AI & Machine Learning.

Required skills include:

- Proficiency in AWS and AWS Big Data technologies
- Experience as an AWS Developer and in AWS DevOps
- Background in Big Data Engineering and Data Engineering
- Strong analytical and problem-solving skills
- Effective communication and collaboration abilities

The right candidate will have a passion for innovation, a dedication to fostering an inclusive environment, and a commitment to driving impactful solutions through data.

If you are ready to make a meaningful contribution in a role that values collaboration and adaptability, we encourage you to apply. This position offers core benefits that enhance your professional journey and support work-life balance.

Unlock the potential of data engineering in a role that drives innovation and transforms insights into action.

We are seeking a skilled Data Engineer for an onsite position, playing a pivotal role in harnessing cutting-edge Azure technologies. You will work with products such as Azure AI & Machine Learning, Azure Analytics, Azure Data, Azure DevOps, and Azure IaaS to deliver impactful solutions that enhance data processes and support business objectives.

Key Responsibilities

Event-Driven & Streaming Architecture

* Design and implement event-driven architectures using Azure Event Hubs and Kafka.
* Build and maintain scalable real-time streaming data pipelines.
* Ensure high availability, fault tolerance, and performance optimization of streaming platforms.
* Define messaging standards, schemas, and integration best practices.

API & Serverless Integration

* Develop and manage APIs using Azure API Management (APIM).
* Build serverless integration services using Azure Functions.
* Design RESTful APIs and microservices-based integration solutions.
* Manage API lifecycle, versioning, and security policies.

Data Platform Enablement

* Integrate data into downstream platforms such as Azure Databricks and SQL-based systems.
* Support real-time ingestion into analytics and operational reporting systems.
* Collaborate with data engineering teams on ingestion frameworks.
Governance, Security & Monitoring
* Implement monitoring, logging, and alerting for integration services.
* Apply authentication and authorization standards (OAuth, managed identities, RBAC).
* Ensure secure and compliant data movement across environments.
* Maintain architecture documentation and integration blueprints.
Collaboration & Delivery
* Partner with enterprise architects and engineering teams to define integration strategy.
* Drive integration initiatives from design to production deployment.
* Provide technical guidance and mentorship to junior engineers.
________________________________________

Qualifications & Experience

* Bachelor's degree in Computer Science, Engineering, or related field.
* 6-7 years of experience in integration engineering or middleware development.
* Strong hands-on expertise in:
o Azure Event Hubs
o Kafka
o Azure API Management (APIM)
o Azure Functions
o SQL
o Azure Databricks
* Experience designing event-driven and microservices architectures.
* Strong understanding of distributed systems and messaging patterns.
* Experience working in cloud-native Azure environments.

If you are passionate about data engineering and ready to take on new challenges, we encourage you to apply for this exciting opportunity. Core benefits include a competitive pension plan, retirement savings contributions, and comprehensive medical insurance.

* 5 days a week in office in Claremont

Dynamics 365 Business Central Contractors | Cape Town

I'm currently partnering with leading South African organisations looking to engage Cape Town-based Dynamics 365 Business Central (BC) Contractors/Freelancers.

These roles offer the opportunity to work on greenfield project rollouts using the latest D365 Business Central technology, across both end-user environments and Microsoft Partners.

What You'll Be Doing

* Delivering end-to-end Business Central implementations, with a focus on Finance
* Configuring and developing core D365 Business Central solutions
* Integrating Business Central into wider enterprise systems
* Collaborating within agile delivery teams on long-term transformation programmes

Key Skills & Experience

* Proven experience across D365 Business Central / Dynamics NAV implementations
* Strong background in software development and solution design
* Experience with AL extensions (C/AL advantageous)
* Solid understanding of Finance modules within Business Central
* Familiarity with Microsoft SQL Server (configuration & troubleshooting)
* Comfortable working in Agile/Scrum environments
* Strong problem-solving and communication skills with a pragmatic mindset

Why Apply?

* Long-term, full-time contract opportunities
* Exposure to modern BC implementations and upgrades
* Work across a variety of industries and project environments
* Flexible contracting with top-tier clients in the South African market

Ready for your next Business Central contract?
Apply today for a confidential discussion.

📩 Contact: Emma Taylor
✉️ e.townsend@tenthrevolution.com

We are looking for a Technical Consultant with a strong background in Microsoft Software Environments, specifically in AI and Machine Learning. In this role, you will play a key part in driving innovative solutions that enhance our clients' businesses. Your expertise will help us implement advanced AI technologies while collaborating closely with various teams, ensuring that projects run smoothly and effectively. This position offers a hybrid working model, with 3 days in the office.

For this position we require:

* Proven experience with Azure services, especially in Copilot, AI and Machine Learning
* Strong analytical skills with the ability to develop and implement technical solutions
* Ability to work collaboratively with cross-functional teams and stakeholders
* Experience in developing data-driven applications and machine learning models

This is a hybrid role based in the office 3 days a week, 3 month, full-time contract. If you are passionate about leveraging AI in practical applications and want to make a meaningful impact, we encourage you to apply.

For more information on this role, or other opportunities within the Microsoft Ecosystem in South Africa, please contact Emma Townsend on e.townsend@tenthrevolution.com