Job Openings at Business Science Corporation

Job Overview

• You will work within a team solving complex problems to deliver real business value across a wide range of industries such as mining, telco’s, retail and financial services.
• You will help develop best practices and drive improvements in data engineering across the business.

Responsibilities, Activities and Key Delivarables

• Analyse and organise raw data
• Design data engineering solutions to meet business requirements
• Build scalable data pipelines that clean, transform and aggregate data from different sources using appropriate tools and technologies
• Collaborate with data scientists to prepare data sets for analytical modelling
• Identify ways to enhance data quality and reliability
• Manage technical delivery of projects
• Mentor junior data engineers

Job Specific Qualifications and Experience

Qualifications

• Graduate or Postgraduate ​degree in Computer Science, Information Technology, Statistics, Engineering or related technical field.

Requirements

• ​2-6 years of relational SQL database
• Solid understanding of Apache Spark as a distributed data processing framework
• Experience in designing, implementing and performance tuning solutions in Apache Spark
• Experience in complex data warehouse and data lake design
• Experience in building, optimising and managing data pipelines for large and complex datasets
• Experience using AWS cloud data platform technologies:
• Amazon S3
• Amazon Redshift
• AWS Glue
• Amazon Athena
• Amazon Elastic MapReduce (EMR)
• AWS Step Functions
• AWS Lambda to implement data pipelines and analytical solutions
• Experience in Python would be beneficial
• Experience with streaming technologies such as Spark streaming or Kafka would be beneficial
• A relevant data engineering certification would be beneficial

Behavioral Competencies

• Problem Solver: Can identify problems and opportunities and use critical thinking skills to develop innovative solutions in response.
• Client Focused: Seeks to understand clients and establish effective collaborative working relationships.
• Proactive: Communicates proactively with project stakeholders and takes action to achieve goals.
• Resilient: Copes effectively under pressure or opposition (time or ambiguity).
• Team Orientated: Enjoys working in a team and has a collaborative and inclusive leadership style.
• Quality Focused: Focused on delivering high quality solutions.
• Communication Skills: Strong verbal and written communication skills. Can effectively present complex technical concepts to both technical and non-technical audiences.

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Job Overview

• You will work within a team solving complex problems to deliver real business value across a wide range of industries such as mining, telco’s, retail and financial services.
• You will help develop best practices and drive improvements in data engineering across the business.

Responsibilities, Activities and Key Delivarables

• Analyse and organise raw data
• Design data engineering solutions to meet business requirements
• Build scalable data pipelines that clean, transform and aggregate data from different sources using appropriate tools and technologies
• Collaborate with data scientists to prepare data sets for analytical modelling
• Identify ways to enhance data quality and reliability
• Manage technical delivery of projects
• Mentor junior data engineers

Job Specific Qualifications and Experience

Qualifications

• Graduate or Postgraduate ​degree in Computer Science, Information Technology, Statistics, Engineering or related technical field.

Requirements

• 8+ years of relational SQL database
• Solid understanding of Apache Spark as a distributed data processing framework
• Experience in designing, implementing and performance tuning solutions in Apache Spark
• Experience in complex data warehouse and data lake design
• Experience in building, optimising and managing data pipelines for large and complex datasets
• Experience using Azure cloud data platform technologies:
• Azure Storage / Data Lake
• Azure SQL Database
• Azure Data Factory
• Azure Data bricks
• Azure Synapse Analytics to implement data pipelines and analytical solutions
• Experience in Python would be beneficial
• Experience with streaming technologies such as Spark streaming or Kafka would be beneficial
• A relevant data engineering certification would be beneficial

Behavioral Competencies

• Problem Solver: Can identify problems and opportunities and use critical thinking skills to develop innovative solutions in response.
• Client Focused: Seeks to understand clients and establish effective collaborative working relationships.
• Proactive: Communicates proactively with project stakeholders and takes action to achieve goals.
• Resilient: Copes effectively under pressure or opposition (time or ambiguity).
• Team Orientated: Enjoys working in a team and has a collaborative and inclusive leadership style.
• Quality Focused: Focused on delivering high quality solutions.
• Communication Skills: Strong verbal and written communication skills. Can effectively present complex technical concepts to both technical and non-technical audiences.

go to method of application »

WE ​SOLVE, WE​AUTOMATE, SO THAT OUR CLIENTS CAN PROSPER

Qerent is looking for a Junior Software Engineer to join an expert team of developers in its channel partner, Revenue Science.

• Qerent is a Platform-as-a-Service that lets data science and BI teams turn analytical ideas into production-grade web applications without having to build, deploy, and secure all the usual cloud plumbing. A low-code, object-based modelling engine, a Python SDK for declarative web application creation and a suite of ready-made JSX components and features handle the heavy lifting so that small teams can ship complex, interactive apps in days rather than months.

Why is this role exciting:

• Work on products and applications that cover a broad domain, from Fast Moving Consumer Goods to Telecommunications, Healthcare, Finance, and beyond.
• Work on productising solutions to problems in the space of data-science, machine learning and Business Intelligence with state of the art, truly useful LLM.
• Work with a diverse team of Senior Developers and Technical leads with decades of shared experience in the SaaS product Development field.

What you will get exposure to:

• Exposure to (and collaboration with) Architects working on Azure and AWS engineering concepts and problems at a global, enterprise scale.
• Solving and productising advanced analytical problems in the field of data science in machine learning.
• Morden software development tools (Rust, React & JSX, Python)

What you will do:

• Prototype and ship highly interactive Qerent Applications.
• Python, JavaScript, HTML (JSX) and CSS
• Work with Senior Developers/ Technical Leads to build automated deployment, delivery and testing pipelines for Qerent Applications.
• Test Driven Development, CICD, DevOps pipelines
• Translate analytical models into interactive features with analysts & domain expert.
• Review PRs, share knowledge, improve best practice.

Experience Requirements

• BSc/BEng/BTech (or equivalent) with significant programming focus and strong mathematical foundation or
• 2 Year's professional software development experience.
• Working Knowledge of:
• Python (OOP) (Rust / C# / Java / Kotlin also accepted with interest in pivoting to Python)
• JavaScript (TypeScript welcome)
• HTML / CSS basics
• Git workflows
• Test-driven Development
• Clear examples of skills in written and verbal communication.

Nice-to-have Experience:

• SQL Data handling
• Pandas / Polars (Python Data Handling)
• Data Visualisation (Python, any framework)
• Domain knowledge in an analytical or mathematical domain