Vacant Posts at DataOrbis

Responsibilities:

Client Management

Manage client interactions and expectations
Develop client relationships
Communicate effectively with clients to identify needs and evaluate alternative business solutions
Build knowledge of client business and organisational objectives
Explain proposed solutions and make presentations as required
Communication and Liaison

Facilitate team and client meetings
Hold regular status meetings with project team
Communicate relevant project information to seniors
Resolve/escalate issues in a timely fashion
Communicate IT Policies and procedures to business
Communicate relevant SLA's to business
Track and report on project status
Create IT presence in Business through attending meetings and facilitating appropriate knowledge transfer
Help enforce IT policies and procedures through proactive communication
Involve correct IT specialists at appropriate times
Provide ongoing IT insight / expertise
Document Management

Create / collate relevant project documentation
Document procedures/manuals/information and policies as and when required
Management of Expense Budget for IT Projects

Set and agree budgets with IT General Manager
Provide budget input
Ensure expenses are in line with budget
Identify monthly variances and correct any errors
Project Management

Receive project brief from business
Determine project objectives, scope, deliverables, assumptions etc.
Meet relevant stakeholders and liaise with internal and external developers / persons regarding requirements
Apply project management processes through the phases of the project life cycle
Apply appropriate project management methodologies
Highlight potential risks
Create and chair steering committees when required
Ensure appropriate resolution for tasks/deadlines not met
Manage effective project execution and closure
Ensure use of relevant software (e.g., MS Projects)
Requirements
 

Key Competencies:

• Systemic thinking
• Teamwork & collaboration
• Critical thinking
• Agility
• Performance & results driven
• Conceptual thinking
• Resilience & stress management
• Service excellence
• Analysis & problem solving
• Industry & business awareness
• Quality & detail excellence

Minimum Qualifications:

• Diploma or Degree/NQF level 7

Minimum Experience:

• 6 - 8 years of IT technology and systems development life cycle experience with 2-3+ years of project implementation experience essential. General understanding of application programming, database, systems design, architecture and infrastructure

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Responsibilities:

Data Engineering

• Gather and cleanse data from a variety of sources, including structured and unstructured data
• Design, develop, and maintain GCP-based data infrastructure, including data pipelines and ETL processes using Google BigQuery and DBT
• Implement data transformations, aggregations, and data cleansing to support analytics and reporting

Data Modeling

• Utilize DBT (Data Build Tool) to define, document, and maintain data models and business logic in SQL for analytics and reporting
• Develop and implement data quality checks to ensure the accuracy and integrity of data

Performance Optimization

• Monitor and optimize data pipelines to ensure they are performing as expected, ensuring efficient data processing and cost management
• Automate data processing tasks to improve efficiency and scalability

Data Governance

• Enforce data quality standards, implement data access controls, and ensure compliance with data privacy regulations

Visualization

• Analyze and interpret data to present insights clearly and concisely
• Prepare dashboard visualizations and reports to communicate data insights to internal and external stakeholders in written and/or verbal format

Machine Learning Integration

• Work with data scientists and analysts to build and deploy data-driven solutions, using Google Vertex AI

Team Collaboration

• Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and provide solutions
• Lead and mentor other data engineers to design and implement complex data solutions

Documentation

• Create and maintain documentation for data pipelines, data models, and best practices

Technical Innovation

• Stay up-to-date on the latest GCP and data engineering technologies to incorporate them into the data infrastructure

Requirements

Qualifications

• Minimum bachelor’s degree in computer science, data, engineering data science, or a related field
• Post-graduate degree in any of the above will be an advantage
• 5+ years of experience in Google Cloud Data Engineering or a comparable cloud platform is preferred
• In-depth knowledge of GCP services, including Google BigQuery, SQL and Cloud Storage would be an added advantage.
• Experience with data modeling and data warehousing principles

Preferred Skills

• Knowledge of DBT, or similar technology, and experience in building and maintaining data models
• Familiarity with Google Vertex AI for ML integration
• Experience with data governance and compliance practices
• Google Cloud certifications such as Google Cloud Professional Data Engineer are a significant advantage
• Excellent problem-solving and analytical skills with the ability to troubleshoot data-related issues
• Strong communication and teamwork skills
• Ability to work independently and as part of a team
• Ability to work under pressure and meet deadlines

go to method of application »

Responsibilities include 

Data Engineering

• Gather and cleanse data from a variety of sources, including structured and unstructured data.
• Design, develop, and maintain GCP-based data infrastructure, including data pipelines and ETL processes using Google BigQuery and DBT.
• Implement data transformations, aggregations, and data cleansing to support analytics and reporting.

Data Modeling

• Utilize DBT (Data Build Tool) to define, document, and maintain data models and business logic in SQL for analytics and reporting
• Develop and implement data quality checks to ensure the accuracy and integrity of data.

Performance Optimization

• Monitor and optimize data pipelines to ensure they are performing as expected, ensuring efficient data processing and cost management.
• Automate data processing tasks to improve efficiency and scalability.

Data Governance:

• Enforce data quality standards, implement data access controls, and ensure compliance with data privacy regulations.

Visualization

• Analyze and interpret data to present insights clearly and concisely.
• Prepare dashboard visualizations and reports to communicate data insights to internal and external stakeholders in written and/or verbal format.

Machine Learning Integration

• Work with data scientists and analysts to build and deploy data-driven solutions, using Google Vertex AI.

Team Collaboration

• Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and provide solutions
• Lead and mentor other data engineers to design and implement complex data solutions

Documentation

• Create and maintain documentation for data pipelines, data models, and best practices

Technical Innovation

• Stay up-to-date on the latest GCP and data engineering technologies to incorporate them into the data infrastructure

Requirements

Required experience includes

• Minimum bachelor’s degree in computer science, data, engineering data science, or a related field.
• Post-graduate degree in any of the above will be an advantage.
• 5+ years of experience in Google Cloud Data Engineering or a comparable cloud platform is preferred.
• In-depth knowledge of GCP services, including Google BigQuery, SQL and Cloud Storage would be an added advantage.
• Experience with data modeling and data warehousing principles.

Preferred Skills

• Knowledge of DBT, or similar technology, and experience in building and maintaining data models
• Familiarity with Google Vertex AI for ML integration
• Experience with data governance and compliance practices
• Google Cloud certifications such as Google Cloud Professional Data Engineer are a significant advantage
• Excellent problem-solving and analytical skills with the ability to troubleshoot data-related issues
• Strong communication and teamwork skills
• Ability to work independently and as part of a team
• Ability to work under pressure and meet deadlines

go to method of application »

Responsibilities include 

• Prospect, identify, and qualify new business opportunities through cold calling, networking, and research.
• Develop and execute strategic sales plans to meet and exceed sales targets.
• Build and maintain strong relationships with key decision-makers and stakeholders internally and within target organizations.
• Conduct product demonstrations and presentations to showcase the value proposition of our software solutions.
• Collaborate with internal teams to ensure a smooth transition and implementation of solutions for clients. Hold responsibility for the effective onboarding of new clients
• Negotiate and close sales contracts, ensuring terms are favourable for both the client and the company.
• Stay updated on industry trends, market conditions, and competitor activities to identify new opportunities and stay ahead of the competition.
• Provide timely and accurate sales forecasts and reports to management.
• Research competitors and target markets to: assist marketing activities and recommend improvements to existing products or services based on market research findings.

Requirements

Your skills and experience include

• Bachelor's degree in Business Administration, Marketing, or related field (preferred).
• Proven track record of minimum 4 years of IT solutions sales experience
• Experience in delivering client-focused solutions based on customer needs
• A strong track record in meeting business targets

Knowledge

• Excellent business acumen
• Has in-depth commercial and technical expertise, often in a variety of environments
• Proven track record of success in B2B sales, particularly in selling software solutions
• Strong prospecting, negotiation, and closing skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
• Self-motivated with a drive for continuous learning and improvement
• Experience with CRM software (e.g., Bitrix) is a plus
• Good knowledge of system/warehouse industry  best practice and standards

Skills and Abilities

• Strong strategic ability to direct business growth strategies in a wide range of applications
• Exceptional commercial skills
• Proven ability to manage multiple projects at a time while paying strict attention
• Outstanding time management skills
• Ability to influence and collaborate with other
• Excellent communication skills - written, verbal and presentation
• Excellent analytical and problem solving skills
• Ability to successfully utilize formal documentation tools (google workspace, flowcharts, project management, MS Apps: Word, Excel)