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Cape Town City Centre: Data Engineer

Data Engineer

Posted on 2025-04-17

Job Summary

Key Responsibilities Perform data architecture and data modelling for the migration of Sybase IQ and Always-on environments to Snowflake. Develop logical, data, and application architecture designs . Refactor and optimise QlikView and Qlik Sense models across Sybase IQ and Snowflake platforms. Create reusable data product templates for business-led use cases, including stored procedures, database views, and Power BI templates . Maintain and update detailed documentation covering: Current data landscape Data modelling and architecture decisions Migration processes from on-premise systems (including mainframe , JDE, Qlik, and Sybase IQ) Deliverables Fully refactored and optimised QlikView and Qlik Sense models. Data product templates that enable self-service capabilities for business users. Comprehensive documentation of all architectural designs, data migrations, and current system states. Preferred Experience & Skills Proven experience with Sybase IQ , Snowflake , and QlikView /Qlik Sense . Strong background in data architecture and modelling . Experience with data migrations from on-premise to cloud environments. Ability to create documentation and templates that support business and technical stakeholders. Excellent communication, analytical, and problem-solving skills. Why Join PBT Group? Be part of a reputable organisation with a global footprint and a strong track record of successful project delivery. Work with leading technologies on enterprise-level projects. Join a high-performing, collaborative team of data specialists. Contribute to innovative, data-driven business transformation initiatives. In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent “If you have not heard from us in two weeks, please note that you were unsuccessful for the role. However, we will keep your resume on file and reach out if any other suitable opportunity arises in the future”.

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2025-04-17 in the It Computing Software category

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Cape Town City Centre: Data Engineer

Data Engineer

Posted on 2025-04-17

Salary Monthly
Category It Computing Software
Location Cape Town Region  /  Cape Town City Centre

Job Summary

Key

Responsibilities:

Designing and implementing scalable processes to manage large data sets, ensuring quality and consistency across sources. This involves developing and maintaining data pipelines, creating optimal extraction patterns, and aligning cloud strategy with data architecture. As the Data Engineer, you will also engineer data formats for analytics, develop APIs for applications, and collaborate with stakeholders to deliver solutions while driving process improvements, enhancing scalability, and supporting testing and deployment of new features. Minimum

Requirements:

At least 4 years of relevant data engineering experience Bachelor`s degree in computer science, business informatics, mathematics, statistics, engineering, or related field Strong understanding of data structures, algorithms, and software design Experience with structured and unstructured data, data stores, RDBMS, and data warehouses Proficiency in cloud tools (e.g., Redshift, Athena, Glue, Lambda) Proficiency in programming languages such as Python, Scala, Java, or C Experience with Apache Spark and cloud services (AWS, Azure, GCP) Knowledge of version control systems like Git and SVN Familiarity with DevOps practices, including CI/CD and Infrastructure as Code Exposure to AWS platform environments such as CodePipeline, CodeBuild, CodeDeploy Experience with big data, ETL, and data management processes Experience in API development and cloud architecture Strong analytical and problem-solving abilities Ability to work collaboratively in an agile environment Additional Skills & Attributes needed: Ability to work effectively with cross-functional teams Strong communication skills to articulate complex data concepts to non-technical stakeholders Continuous learning mindset and commitment to professional development Innovative thinking and flexibility to adapt to changing business needs Integrity, accountability, and strong work ethic Enthusiasm for experimenting with new technologies and methodologies

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Cape Town City Centre: Data Engineer

Data Engineer

Posted on 2025-04-17

Job Summary

FinTech Industry Data Engineer Role South Africa (Remote/Hybrid) Python, AWS & PySpark Experience a Must An innovative FinTech firm is hiring a Data Engineer to drive data infrastructure initiatives and streamline data processes. If you thrive in a fast-paced, cloud-first environment and enjoy designing efficient data systems from scratch, this is your chance to make a real impact. Youll join a tech-forward team where data quality, governance, and automation are key. Expect to work with a modern stack – Python, AWS, Airflow, and Terraform – on systems that power real-time analytics and decision-making. Qualifications: BSc in Computer Science, Engineering, Information Systems, or equivalent 5 years in data engineering 2 years experience with building and optimizing big data pipelines and architecture

Requirements:

Proficient in Python and SQL (PostgreSQL, and MSSQL) Hands-on experience with AWS and data services like Glue Skilled in Airflow, Docker, Terraform, and PySpark Strong CI/CD and GitHub version control practices Knowledge of data lifecycle, quality assurance, and governance Solid understanding of scalable data stores and stream processing Excellent troubleshooting and problem-solving skills Key Performance Areas (KPAs): Design and implement scalable, automated data pipelines Optimize data delivery, storage, and transformation processes Develop monitoring, testing, and CI/CD workflows for data systems Maintain data lakes, warehouses, and metadata/catalogue systems Support analytics/reporting infrastructure and ensure data integrity Lead internal process improvements and data system enhancements Ensure data security and enforce governance best practices Apply now If you`re a passionate Data Engineer looking to join a modern FinTech team that values innovation, clean architecture, and performancedont miss out

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2025-04-17 in the It Computing Software category

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Job Summary

Job Specifics: This is a fully remote role, open to candidates residing within Africa and South Africa. Travel may be required from time to time, all costs will be covered by the company. About the Client: Our client, a dynamic and forward-thinking global organization, is on a mission to drive innovation and shape the future of technology in Africa and beyond. We, as their trusted recruitment partner, are seeking a talented Mid-Level Data Engineer to join their team and contribute to their exciting journey. About the Role: In this role, you will be instrumental in building and maintaining robust data pipelines and infrastructure that power high-performance applications and analytics. Your expertise in tools like Databricks, Python, and PySpark, along with experience in cloud environments (AWS, Azure, GCP), will be key to helping our client achieve their ambitious goals. Key

Responsibilities:

Develop and maintain scalable data pipelines. Optimize data models for efficient storage and retrieval. Utilize big data technologies for distributed processing. Deploy data solutions on leading cloud platforms. Ensure data quality and governance across all systems. What the opportunity offers: This opportunity provides you with the chance to work with a company that is making significant strides in the global technology landscape. You will join a collaborative environment that values innovation and professional growth, and where your contributions will make a real impact. Qualifications: Proven experience as a Data Engineer or in a similar role. Hands-on experience with big data technologies and cloud platforms. Strong problem-solving and analytical skills. Excellent collaboration and communication abilities.

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2025-04-17 in the It Computing Software category

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Cape Town City Centre: Data Engineer

Data Engineer

Posted on 2025-04-17

Job Summary

Job Summary: The Data Engineer will manage and analyze the company`s data from battery systems, microgrids, and energy management solutions. This role includes designing databases, developing analytics/reporting systems, and applying machine learning (ML) for actionable insights. The Data Engineer will also integrate AI/ML into the EMS product to drive innovation in energy management. Key

Responsibilities:

Design and maintain robust database architectures to support operational data from battery systems and microgrids. Develop and optimize data pipelines to ensure seamless ingestion, processing, and storage of structured and unstructured data. Ensure data integrity, security, and availability through best practices in database management. Develop and implement data analytics and visualization tools to provide insights into system performance. Create automated reporting solutions to track key metrics, enabling data-driven decision-making across the organization. Work closely with stakeholders to understand reporting needs and deliver actionable insights through dashboards and custom reports. Analyse historical data to identify patterns, trends, and correlations in battery system and microgrid performance using statistical methods and AI tools. Develop trend forecasting models to anticipate system behavior and provide proactive recommendations for system optimization. Find innovative ways to optimize energy costs and management. Lead initiatives to integrate AI and machine learning models within the EMS product, focusing on predictive analytics and anomaly detection. Collaborate with software developers to create data-driven features that enhance the EMS product’s capabilities and user experience. Identify opportunities for innovative new services based on data trends and lead their development. Collaborate with the EMS team, software engineers, and product owners to align data initiatives with product objectives. Facilitate training and workshops to promote AI and ML technologies across the company, ensuring teams understand and utilize data-driven insights. Job

Requirements:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Minimum of 3-5 years of experience in data engineering, analytics, or a related role. Proven experience in designing and managing databases, developing ETL pipelines, and building analytics solutions. Hands-on experience with AI/ML technologies and frameworks, such as TensorFlow, Scikit-Learn, or similar. Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau), including Python Data Analysis libraries Experience with cloud platforms for data storage and processing (e.g., AWS, Azure). Strong understanding of data warehousing concepts, data modeling, and big data technologies (e.g., Spark, Hadoop). Strong understanding of time series data analysis, pattern recognition, forecasting and model building and using AI tools to achieve these.

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