• Role: Senior Data Engineer
• Responsibilities: Design, implement, and maintain Azure cloud infrastructure
• Location: Cape Town (Hybrid Role)
• Contract Period: 12 months

Are you a seasoned Data Engineer seeking a shorter term, yet impactful contract opportunity?  Do you excel in harnessing the power of Microsoft Azure platforms?

Join a leading retail brand as a Senior Data Engineer, where you will be instrumental in designing, implementing, and maintaining their Azure cloud infrastructure. 

• Requirements:

• Degree
• 5 - 10 years experience in data engineering

If you are enthusiastic about cloud technologies and possess a proven track record in building robust and scalable environments on Azure, we encourage you to apply and explore this opportunity!

A leading retail brand with a vibrant culture is looking to hire talented Data Analysts, focused on advanced analytics. The successful candidate will be contributing to innovative projects and shaping the future of data science in the retail sector!

Requirements:

• BSc degree in Engineering; Computer Science or similar
  
• 3 - 5 years' experience in data analytics and advanced analytics
• SQL skills
• Retail or FMCG experience is advantageous

What the opportunity offers:

• Exceptional leadership, learn and grow with a highly experienced senior data scientist
• Company culture that fosters growth and learning
• Exciting project exposure in a variety of fields including credit, supply chain, retail and distribution
• Big data! (but also not too big!)
• Clean data! (cleaner than yours! ;))

Don't hesitate, please send us your CV asap!

A fast-growing consulting company with projects spanning Britain, the USA, and South Africa is looking for an intermediate Data Scientist. Their clientele includes diverse industries such as retail, financial services, anti-fraud and health tech. 

This role includes a focus on data science projects, and delivering and implementing solutions for clients.  The successful candidate will thrive in a consulting culture, be excited about constant growth and changes, and have a proactive engineering mindset.

Some key elements:

Practical Application: Implement small optimizations using solutions that can provide a solution to client challenges.

Engineering Mindset: Approach problem-solving with a strong engineering lens, leveraging mathematics skills to develop and deploy predictive models.

Technical Skills: Demonstrate solid coding proficiency, particularly in Python, and adhere to good software engineering practices.

Client-Facing Work: Engage confidently in client-facing roles, contributing to consulting projects and collaborating with clients to understand and address their needs.

Data Science Work: Work on data science model building, data engineering, analytics, and data wrangling etc.

Cloud Experience: Demonstrate experience in deploying solutions on cloud platforms.

Our client in the fintech sector is seeking for an experienced Databricks Engineer. 

Responsibilities

Designing, implementing, maintaining data processing pipelines on the Databricks platform

Oversee the provisioning, configuration and optimization of Databricks clusters to ensure efficient and reliable data processing

This is a remote or hybrid role

Requirements:

• Degree in computer science, engineering or related field
• Databricks certified developer or Databricks certified administrator
• 5+ years designing, developing, deploying and supporting data pipelines
• 3+ years designing, developing, deploying and supporting data pipelines in Databricks
• Experience managing Databricks clusters, including provisioning, configuration, and optimization
• Proficiency in programming languages used with Databricks, such as Python or Scala
• Understanding of distributed computing concepts and parallel data processing
• Familiarity with AWS, Azure or GCP
• Deploying and managing a databricks in a cloud environment

Are you ready to take your Data Engineering expertise to the next level? We're seeking a dynamic individual to join our innovative team, contributing to a leading systematic investment framework. As a Data Engineer, you'll play a pivotal role in shaping the database architecture, data flow, and processes for our investment team.

Duties and responsibilities:

• Data Engineering Excellence: Design and develop scalable data pipelines and ETL processes, ensuring efficient data collection, processing, and integration from diverse sources into a centralized data warehouse or data lake.
• Collaborative Approach: Work closely with quantitative and analysts to understand their data requirements and provide infrastructure and tools for data exploration, analysis, and visualization.
• Innovation Focus: Evaluate and integrate new data technologies, tools, and frameworks to enhance data infrastructure and processing capabilities, staying ahead of industry trends.

Requirements:

• Relevant Degree
• 2 - 3 years' experience with a focus on database management, data analysis and producing ETL processes at scale
• Understanding of financial instruments and markets ideal

If you're ready for an exciting role with fantastic growth opportunities, apply today!

Explore a compelling role within the Data and Analytics team, directly reporting to the Head of Data Science. This position offers the chance to contribute to extracting maximum value from client data collaborations and ensuring the platform remains at the forefront of intelligence and analytics tools. We're currently seeking an experienced Data Scientist who can leverage analytical prowess and machine learning expertise to derive invaluable business insights.

Key responsibilities include:

1. Data Analysis and Modeling:
   • Interpret and analyze data problems, conceiving and prioritizing projects aligned with client and organizational goals.
   • Conduct data mining, preparation, and collection, ensuring quality and integrity, and visualize findings through interactive dashboards.
   • Build analytic systems and predictive models, utilizing machine learning algorithms for accuracy and efficiency.
2. Collaboration and Communication:
   • Collaborate with diverse teams and stakeholders, effectively presenting findings to a non-technical audience.
   • Conduct research and experiments, exploring new tools, models, and techniques.
   • Promote continuous improvement by developing technical skills and automating tasks for future efficiency.

Requirements for the role:

• Degree in Data Science, Statistics, Engineering, Computer Science, or a related field
• Minimum of 3 years' hands-on experience as a Data Scientist or in a similar role
• Proficient in Python and SQL; experience with cloud-based analytics platforms is advantageous

Ready to Shape the Future of Data Collaborations? If you're a passionate Data Scientist with a knack for problem-solving and a business mindset, we invite you to apply.