Active Jobs 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 Specific and Criteria Qualifications

• BSc qualification in Engineering, Statistics, Mathematics, Actuary, Finance or any other science will be considered.
• Honours is a requirement.
• Proven academic excellence and other notable achievements (university transcripts and matric results are considered).

Knowledge and Skills

• Strong financial acumen.
• A level of technical competency (Database, Programming, Software Development or simulation Modelling skills) is advantageous.
• Complex problem-solving skills.
• A strong team-orientation.
• ​Please note that a strong mathematics background is essential.

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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 »

Your Role and Impact

• HR Systems Management: Efficiently oversee our HR Cloud SharePoint and internal HR software, ensuring organisational effectiveness and smooth operations.
• Employee Lifecycle Management: Handle the complete employee journey, meticulously maintaining personal files and managing all HR legal aspects, from onboarding to offboarding.
• Document Management: Prepare and maintain critical HR documents, such as offers, professional affiliations, proposal CVs, and sponsorships amongst others.
• Learning and Development: Lead our learning and development initiatives, keeping detailed records of 360 feedback, training and skill levels to support employee growth.
• Procedure Optimisation: Assist in the creation and refinement of HR procedures to enhance efficiency and productivity.
• Benefits Administration: Administer our benefits programs in line with company policies, providing comprehensive support to our team.
• External Partnerships: Provide administrative support in coordinating with external partners, such as recruitment agencies and training providers, to help facilitate effective talent and development processes.
• HR Metrics and Reporting: Responsible for ensuring data accuracy and integrity to enable reliable, up-to-date reporting.
• Recruitment and Onboarding Support: Facilitate the coordination of interviews and assessment setups, ensuring smooth communication with the HR team.
• Payroll Assistance: Aid in the payroll process by ensuring accurate and timely communication of employee changes.
• Policy Management: Regularly review and update company policies to ensure compliance and reflect best practices.
• Culture Champion: Play a pivotal role as an advocate for the business, enhancing the employee experience through the quality and consistency of delivery.
• Event Maestro: Play a key supporting role in bringing company events to life from team-building activities to celebratory gatherings ensuring they contribute to a meaningful employee experience.
• Newsletter Curator: Assemble our company newsletter, a vital channel for sharing achievements, updates, and stories that connect and inspire our team.

What You'll Need:

• A deep passion for HR, backed by a relevant degree and at least 2 years of administrative experience.
• A strong affinity for technology, eager to leverage systems for automating and streamlining HR processes.
• Comprehensive understanding of HR software and employment laws.

Your Skillset:

• Exceptional communication skills, adept at engaging effectively across all levels of the company.
• High proficiency in computer literacy, especially in Excel.
• Acute attention to detail, ensuring accuracy and consistency in all endeavours.
• Superior organisational skills, with the capacity to prioritise effectively and juggle multiple projects simultaneously.