Woolworths Vacancies

To apply, click on the link at the end of the posts and all the best with your applications.

NTP Sourcing Specialist

Introduction

Plan and execute assigned sourcing projects timeously in accordance with approved Sourcing Strategies, required quality, established processes and methodologies, ensuring delivery, endorsement and reporting of project benefit targets

Job description

·       Provide support to the Non Trade Procurement Business Partners in the preparation, communication and execution of Category Strategies

·       Provide support to the Non Trade Procurement Business Partners in the preparation and execution of strategic Sourcing Strategies

·       Facilitate the capture of specifications for procurement of good/services

·       Develop robust data gathering and data quality maintenance protocols to ensure spend transparency and support development of baseline for sourcing efforts

·       Collect and utilise stakeholder feedback to understand critical business priorities, sharing feedback with appropriate Non Trade Procurement Business Partners to ensure group priorities as well as regional requirements are met in a collaborative manner and strategies account for short and long term business needs

·       Plan and execute assigned sourcing projects timeously in accordance with approved Sourcing Strategies, required quality, established processes and methodologies

·       Identify sourcing project and supply risks, establishing mitigation plans

·       Lead cross-organizational project teams to work collaboratively and accomplish a common goal in delivering assigned tactical and operational sourcing projects

·       Maintain considered, effective communication with all stakeholders before, during and after projects, ensuring responsible Non Trade Procurement Business Partners remain up to date at all times

·       Ensure project compliance with all relevant sourcing policies and procedures as a NTP Process and Systems expert

·       Ensure good governance is consistently applied, evaluating potential vendors in an equitable manner with due consideration for preferential procurement imperatives and maintaining thorough records pertaining to vendor appointment and terms of engagement

·       Design and execute negotiation strategy to minimise life-cycle expenses

·       Engage and influence across the lines of business to ensure successful project implementation, support change management and ensure adoption

·       Conclude contracts with appointed suppliers in partnership with the Legal department ahead of implementation

·       Optimise contractual agreements to minimize risk and cost

·       Calculate, track and document direct and indirect savings achieved, as well as process value add

·       Ensure delivery, validation and endorsement of, at minimum, targeted assigned sourcing project benefits

·       Transition suppliers seamlessly through effective project and critical path management, change management and business education

·       Ensure purchase facilitation and ERP control mechanisms are optimized and activated timeously, including supplier accounts, blanket agreements, catalogues, inventory codes and contract purchase orders

·       Strengthen supplier relationships through supplier consolidation, with due regard for Enterprise and Supplier Development priorities

·       Support ongoing contract management, ensuring timely execution of contract renewals and renegotiations to deliver budget guidance on schedule

·       Support strategic Source to Pay (S2P) initiatives, supplier analysis and market intelligence activities

·       Support the evolution of the S2P framework and vision for change in business processes, technology and strategies, collaborating with stakeholders to explore ways to improve and innovate

·       Maintain appropriate and effective communication with consistent messaging regarding the NTP transformation efforts

·       Conduct Supply Chain mapping activities to identify opportunities to reduce total landed costs with due consideration to lead time – regionalising supply, together with the  Non Trade Procurement Business Partners, wherever appropriate

·       Execute assigned Tail-Spend Management (TSM) activities, including spend and contract analysis, identifying and extracting incremental cost saving, operational efficiency, supplier consolidation and catalogue improvement opportunities, as well as synergies with preferred suppliers

Minimum requirements

·       Strong project management skills

·       Strategic and proactive approach to problem solving

·       Numerical, analytical and interpretive ability

·       Excellent verbal and written communication skills

·       High attention to detail and accuracy

·       Relationship management skills

·       Change management skills

·       Conflict management skills

·       Strong and effective negotiation skills

·       Decision-making ability

·       Business acumen and commercially minded

·       Report writing skills

JOB REQUIREMENTS

·       Degree or Diploma, in Procurement, Purchasing Management, Supply Chain, Logistics, Business Management, Commerce, Economics or related, relevant professional qualification such as MCIPs

·       Project Management certificate or diploma

·       Minimum of 4 years procurement experience, at least 2 of which in a corporate multinational and 2 of which in strategic sourcing

·       Experience with any major ERP system

·       Experience with any sourcing and contracting platforms will provide an advantage

DATA SCIENTIST

Introduction

Provide statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends, opportunities and risk and communicate findings to business users in order to answer business questions.

Job description

·       Provide business insights through statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex business questions.

o   Design advanced analytics (quantitative) models that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.

o   Analyse model results, interpret findings and communicate these findings in commercial terms to Business Users so that the business impact is clearly understood.

o   Confidently and clearly communicate analytical results to both technical and non-technical audiences.

o   Recommend solutions for creating revenue and reducing costs/loss based on model results.

o   Run and automate regular reporting and operationalise successful models. ·

·       Establish effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business

o   Work closely with the Data Analyst(s) to assist in answering complex business problems that require statistical analysis.

o   Regularly monitor internal and external customer needs and make appropriate recommendations.

o   Remain current with retail industry and Business Intelligence and data trends that will have business strategy implications or can be used to support recommendations to continually ‘test and learn/ to generate value. ·

o   Remain current with developments in advanced analytics and methodologies.

·       Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.

o   Remain current with developments in advanced analytics technology and methodologies.

o   Monitor and report on the progress of IT management’s remediation of IT audit findings and IT risks.

o   Contribute to the assessment and selection of IT GRC applications, solutions and services

Minimum requirements

•        University degree in quantitative fields like Mathematics, Statistics, Operational Research and Economics or equivalent industry training and experience.

•        A minimum of 3 years in advanced analytics, model building and optimisation · Experience with data manipulation and analysis using Python and SQL skills or equivalent analytical platforms.

•        In depth knowledge of Data Warehousing and BI environments Strong theoretical and practical knowledge of advanced analytical techniques, including statistical methods, segmentation, experimental design, neural networks, data mining, optimisation techniques. ·

•        Ability to identify which business problems will have the most value to the organization if addressed through an advanced analytics solution. ·

•        Ability to deal with situations where there are a lot of unknowns.

ADDITIONAL CRITERIA

•        Strong proficiency (intermediate or advanced level) in Python or equivalent analytical & statistical programming languages.

•        Deep understanding of key statistical concepts used in model development, evaluation, and hypothesis testing.

•        Proficiency with data processing tools like Spark or Hadoop for working with large scale datasets (Exposure to cloud platforms like AWS advantageous).

•        Deeply curious and a strong desire to go beneath the surface of a problem.

•        Courage to question existing assumptions and business processes and the ability to drive change and influence how the organisation approaches business challenges.

Trainee Technologist

Introduction

We’re dedicated to quality, sustainability, and innovation. Woolworths Exceptional Quality™ is our guiding principle. As a technologist, you’ll craft beautiful products, working with suppliers and partners to improve processes. A relevant diploma or degree in garment, textile, pattern making, or technology/commercial studies is required to join our team at Woolworths.

Job description

–         Garment Approval Process

–         Fabric Approval Process

–         Product Development Process

–         Product execution and technical support

–         Drive the quality management process

–         Product Safety and Functionality

–         Vendor Management 

–         Product and process improvement

–         Trend research

–         Initiate newness

–         Product Introduction with a point of Difference

NB: Your application will only be considered if you attach all the following documents:

– Full CV

– Copy of university academic transcript 

If you are struggling to load multiple documents, please put the required attachments into 1 file/pdf and submit.

Minimum requirements

–  Relevant 3-year qualification in clothing Garment Technology/ Production Management/ Textile, Pattern Marking or Technology/Commercial. 

– Product Knowledge 

– Detail oriented

– Customer-centric 

– Analytical thinking and decision making 

Profit Analyst

Introduction

To assist the BU Financial Manager with providing the business with a sound system of performance management that is aligned with the achievement of companywide financial goals and balanced scorecard. To optimize the ongoing and sustainable profit performance of the decision by providing the necessary decision-making framework and support.

Job description

·       Assist the BU Financial Manager with effective planning in the form of an annual budgeting which is regularly updated with a forecast. Liaise with the BU stakeholders to provide accurate, consolidate budgets and forecasts for the BU.

• Budget & forecast variances are analysed and recommendations are made to correct or improve BU performance. 

• In-depth analysis is performed on key financial risk / opportunity areas in the business. The financial levers are understood and communicated to the business together with clear recommendations.

• Key business initiatives are reviewed to ensure that they meet the required returns.  Support is provided to the BU to present these cases to the Investment Committee. Implementation is reviewed to ensure delivery of benefits.

• Identify cost management opportunities – processes or expenses – for ensuring a sound return for shareholders and make recommendations on how these should be dealt with

• Make an effective and positive contribution to the Business unit in the execution of its strategy and in its performance, and to be recognised as such by the BU leadership team.

• Play an effective role in the broader Finance team and the Planning and Performance team to ensure the combined delivery of the Finance strategy.

Minimum requirements

MINIMUM QUALIFICATION

·       Relevant Financial qualification – B.Comm or CA (SA)

·       CA (SA): 2-3 years post qualifying experience

·       Advanced Excel experience

FUNCTIONAL COMPETENCIES

·       Able to use financial models for ongoing Business Unit performance assessment and management.

·       Able to develop and produce clear financial management information.

·       Able to analyze financial information and make clear recommendations for improvement to line management – even when this is unpopular. 

·      Able to communicate complex and often contentious matters to a wide range of audiences both verbally and in writing.

·       Able to effectively use latest decision support technologies & tools

SENIOR DATA SCIENTIST

Introduction

This builds on the Data Scientist capabilities and is accountable for developing retail Analytical Data Assets (ADA’s) and accompanying strategies for key WW ‘Use Cases’ through using data analysis and predictive modelling techniques, simulation, and optimisation to discover trends, opportunities, and risks.

Job description

·       Evolve the Retail ADA strategy development, implementation, analysis and tracking

o   Evaluate the performance of ADA strategies that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.

o   Document, recommend and present key ADA results/findings and design improved strategies that will outperform previous strategies, following the appropriate governance processes for strategy approval.

·       Provide forecasting and regular ADA MI

o   Forecasting of key ADA metrics as per operating plans.

o   Timely and accurate production of MI reports to track ADA performance and variance analysis explaining actual values against business forecasts.

o   Make appropriate recommendations to address unfavourable variances.

·       Lead Analytical Projects

o   Develop and drive project plans for major ADA development including securing resources to ensure its on-time, within budget and to-quality implementation.

o   Prove the business effectiveness and/or efficiency of analytically driven implementations (Post Implementation Reviews) and based on proven results or convincing analytical prediction, recommend and implement appropriate champion / challenger strategies to continually “test and learn” to improve ADA profitability.

·       Contribute to quality and governance standards

o   Oversee and ensure that ADA analytics are performed to the required standards.

o   Ensure awareness, adherence and compliance to the Governance Policies and any other related policies and procedures.

·       Provide effective stakeholder and resource management

o   Align ADA implementations to WW Business Unit resourcing requirements to ensure they’re on-time, within budget and to the required standards.

o   Effectively integrate with Woolworths’s stakeholders to ensure implementation practicality and business quality as appropriate.

o   Coach and mentor Data Scientists, Analysts and others in the team as required.

Minimum requirements

• University degree in quantitative fields like Mathematics, Statistics, Operational Research and Economics or equivalent industry training and experience.
• Proven strategy development and implementation experience using advanced data analytics.
• Experience in working in an outsourced environment and effectively implementing solutions using both internal and external resources.
• At least 5 years analytical experience on a consumer portfolio dataset (retail, banking, telecoms etc.). Retail experience advantageous.

ADDITIONAL CRITERIA

• Deep Knowledge of the Retail Industry and its operating dynamics.
• Knowledge and application of ADA techniques across the consumer life cycle.
• Proven ability in analytics, business acumen and presenting / communicating recommendations across all organisation levels.
• Ability to work with diverse teams to ensure effective implementation of projects.
• Understanding of financial metrics in relation to ADA management and the associated forecasting thereof. 
• Strong proficiency (intermediate or advanced level) in Python or equivalent analytical & statistical programming languages.
• Deep understanding of key statistical concepts used in model development, evaluation, and hypothesis testing.
• Proficiency with data processing tools like Spark or Hadoop for working with large scale datasets (Exposure to cloud platforms like AWS advantageous).
• Proficiency in Microsoft Office (Excel, Word, PowerPoint etc.), ideally using macros.
• Ability to cross check data integrity after an initial validation exercise.
• Comprehensive understanding of portfolio fields and data relationships in order to improve the analytical recommendations.

BUSINESS INTELLIGENCE DATA ARCHITECT X2

Introduction

Responsible for the alignment of the BI architecture with the business strategy by analysing, defining and designing the data architecture required to achieve the organisation’s information needs.

Job description

·       Define end to end data design for BI solutions

o   Provide the overall cohesiveness to ensure that all the components of the proposed BI solution will fit together

o   Work in close collaboration with Data Integration and Information Delivery developers to ensure that the different parts of a solution are integrated and that appropriate technology choices are made.

·       Develop and define data standards

o   Develops and defines the data standards for the organisation

o   Communicates the business benefit of the data standards, champions and governs the standards across the organisation

·       Develop and define metadata management

o   Understands the different metadata management processes and tools

o   Designs and maintains the metadata repositories to enable the organisation to understand their data assets

·       Create optimal data design

o   Works with business and technology stakeholders to translate business problems into data designs

o   Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements

·       Develop and define data governance

o   Takes responsibility for the assurance of data solutions and making recommendations to ensure compliance

o   Accept overall responsibility for the Data Governance component of the BI environment, including data quality, integrity and reliability

·       Build and maintain relationships across business, suppliers and IT

o   Establish effective and collaborative partnerships with Business, Enterprise Architecture and other relevant IT teams to formulate BI data strategies

o   Act as a virtual member of the Enterprise Architecture team to provide specialist knowledge of Data Architectures concerns and principles to the Enterprise Architecture competency and that the Information/Data Architecture is considered in Enterprise Architecture implementations

·       Lead and drive research and development

o   Lead and drive the Research & Development effort of the BI team in order to provide input into:

o   Technology decisions to ensure that new technologies provide sufficient data for decision support

o   The technical and data roadmap (BI Conceptual Architecture) to support the BI strategy

o   Ensure that the Data Architecture methodology is subject to continuous improvement by applying lessons learnt from projects and initiatives to the base methodology in addition to monitoring industry trends and best practices to improve maturity in this area

·       Ensure team works effectively to produce quality work

o   Build a sustainable team capability

 Set aligned goals for subordinates to deliver

Minimum requirements

• Relevant 3 year tertiary or NQF aligned qualification
• Up to 8 years’ experience in IT, with a minimum of 5 years in a BI technical role and a minimum of 3 years in a BI architecture role
• Proven track record of delivering BI technical solutions
• Proven application of Data Warehousing and BI best practices
•  Proven track record of implementing innovative BI solutions leading to clear business benefits

Additional Criteria

• In depth knowledge of Data Warehousing and BI best practices
• In depth knowledge of BI environments, solutions and implementations (end-to-end BI architecture and technologies)
• Experience in dimensional modelling, analysing source systems, data flows and delivering data architecture designs
• Change oriented – supports and drives change and confronts challenges in creative ways
• Disciplined in applying BI standards but open to suggestion and change
• Abstract thinker who is capable of finding an appropriate solution to complex problems
• Meticulous and attention-to-detail focus
• Self-motivated with a can-do attitude
• Supports the development of business acumen of team through knowledge sharing and upskilling.
• Maintains advanced knowledge of business operations and organisational metrics and trends.
• Factors in retail models and levers in building an effective IT landscape.
• Benchmarks the competition and other relevant comparison groups.
• Makes sound technical decisions based on understanding of what is commercially achievable within technological constraints.
• Evaluates the applicability of solutions with the ability to challenge and qualify its suitability for the business.
• Leverages research on technology-related concepts, trends and best practices to provide guidance on IT roadmap.
• Set technical policies and procedures to support IT stability and success aligned to evolving technologies and methodologies.
• Effectively applies substantial in-depth analysis in order to determine and meet requirements
• Quickly identifies key issues, stakeholders and viewpoints in a complex situation or problem
• Finds ways to condense large amounts of information into a useful form
• Anticipates the consequences of situations and proactively works to overcome potential obstacles
• Asks perceptive, probing questions to get to the heart of the matter
• Plans and ensures implementation of activities/projects identified in business strategy
• Maintains a keen awareness of the interrelationships among various components of large-scale activities/projects
• Allocates time and resources as required when faced with multiple demands and competing priorities
• Considers the financial implications before finalising activity/project plans
• Actively monitors resource allocation and utilisation and makes adjustments as necessary
• Accurately interprets the moods, feelings and reactions of others and adjusts own behaviour to build effective relationships within the organisation and with its business partners
• Applies diplomacy and tact, demonstrating respect for differing perspectives
• Understands the perspectives of others to establish mutually beneficial objectives
• Seeks and influences new relationships outside own unit and identifies new collaborative partnerships that better position programmes and services.
• Shares information with colleagues and partners about industry trends and business opportunities.
• Coaches others on how to develop proposals and work plans for effective partnership arrangements.
• Establishes connections that help facilitate the accomplishment of broader organisational objectives.
• Actively listens, interprets and presents messages in different ways to enhance understanding.
• Appropriately adapts the message, style, and tone of communication to accommodate a variety of audiences.
• Reviews presentations to ensure effective use of tools and techniques and provides recommendations.
• Prepares a wide variety of complex reports and documents using diverse sources.
• Confidently addresses groups of people, adapting style as appropriate for different audiences.
• Anticipates change by keeping up to date on current research and trends affecting one’s own field
• Reviews, evaluates and disseminates information regarding key methodologies, best practices and tools to support a future landscape
• Continually searches for ways to adapt and improve through change
• Consciously models appropriate adaptions and encourages it in others
• Devises action plans for adapting to change
• Systematically analyses and shares the learning/ knowledge gained from change
• Redirects own or own team’s efforts in response to changed circumstances to ensure effective problem solving

DATA ENGINEER

Introduction

Data Engineer who will assist in designing and implementing scalable and robust processes to support the data engineering capability. This role will be responsible for extracting and transforming massive amounts of data at scale and consolidating this data into a bigger data ecosystem.

Job description

• Assist in designing and implementing scalable and robust processes for ingesting and transforming large data sets.
• Assist in the design and implementation of data pipelines from a variety of data sources and support the maintenance thereof.
• Ingest large, complex data sets that meet functional and non-functional requirements.
• Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
• Build bulk and delta data patterns for optimal extraction, transformation, and loading of data.
• Supports the organisations cloud strategy and alignment to data architecture and data governance.
• Engineer data in the appropriate formats for downstream consumption for analytics or Enterprise applications.
• Assist in the development of APIs to expose the data to Enterprise Applications and 3^rd party vendors.
• Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability.  This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies.
• Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems.
• Provide support in the operational environment with all relevant support teams for data services.
• Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.
• Support test and deployment of new services and features.

Minimum requirements

• Bachelor’s degree in Computer Science, Business Informatics, Mathematics, Statistics or Engineering with 4 – 5 years relevant data engineering experience.
•        A strong understanding of data structures, algorithms, and effective software design.
•      Significant experience working with structured and unstructured data at scale and different data stores such as key-value, document, columnar, etc. as well as traditional RDBMS and data warehouses.
• Good programming, performance tuning and troubleshooting skills using programming languages such as python, scala, java and C .
•       Practical experience with Apache Spark and AWS services such as Redshift, Glue, Lambda, EMR, S3, IAM, RDS, etc.
•       Experience wrangling terabytes of big, complicated, imperfect data.
• Experience with designing and implementing Cloud (AWS) solutions including use of APIs available.
• Experience with DevOPS architecture, implementation and operation would be advantageous
• Experience with version control systems such as Git, SVN.
•  Excellent verbal and written communication skills; must work well in an agile, collaborative team environment.Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.

• Some experience in applying SAFe/Scrum/Kanban methodologies would be advantageous.
• Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process re-engineering.
• Good problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution

COMPETENCIES:

• Business & commercial acumen
• Technical acumen
• Collaboration and communication
• Interpersonal skills
• Adaptability
• Results Orientated
• Analytical Thinking
• Innovation
• Execution
• Customer First
• Personal Mastery (Learning)
• Problem Solving
• Data Analysis

Trainee Planner

Introduction

Passionate about retail, numbers, forecasting, and problem-solving? Join Woolworths as a planner! Get the right product mix for the right store at the right time with your analytical skills. Retail or business/management degree/diploma required. Data analysis and strong numeracy are essential.

Job description

–         Performance analysis of products, stores, and customer 

–         Sales forecasting

–         Margin and markdown management

–         Merchandise Planning (in season/ preseason) projections 

–         Cross plans and new stores (extensions and closures) 

–         Assortment building (range reviews) 

–         Allocation management 

–         Assort Admin Management 

–         Supplier Management & Stores Relationship

Minimum requirements

–        Relevant 3-year qualification in Commerce, Accounting Sciences,  Economics, Business Science, Statistics or other numerate degrees. 

–         Data analysis and ability to draw inferences

–         A high degree of numeracy and a detailed and strategic approach to work

–         Trading Knowledge 

–         Commercial Acumen 

–         Planning and Organising 

–         Detail Oriented

–         Analytical thinking and Decision-Making Skills. 

–         Team Orientated 

–          

NB: Your application will only be considered if you attach all the following documents:

–         Full CV

–         Copy of university academic transcript 

If you are struggling to load multiple documents, please put the required attachments into 1 file/pdf and submit

Trainee Buyer

Introduction

Interested in fashion retail? Wonder how products are chosen? Curious about customers and their buying patterns? Skilled in relationship building and planning? If you have a fashion, retail, or interior design qualification, consider buying as your perfect role.

Job description

–         Creative and conceptual input in design and range building 

–         Develop fashion ranges that are fashion-forward and in line with customer needs 

–         Product design and construction

–         Constant product analysis

–         Brief suppliers in line with design brief deliverables

–         Provide buying input into planning deliverables

–         Supplier negotiation

–         Customer analysis 

–         Global and local trends analysis 

 NB: Your application will only be considered if you attach all the following documents:

–         Full CV

–         Copy of university academic transcript

If you are struggling to load multiple documents, please put the required attachments into 1 file/pdf and submit.

Minimum requirements

–        Relevant 3-year qualification in Fashion Design, Clothing Management, Textiles, or Consumer Science (creative qualification) 

–         Commercial Acumen

–         Trading Knowledge

–         Taste and Flair 

–         Negotiation Skills 

–         Detail Oriented

Engineer (Data, Platform, Cloud, DevOps, ML, Data Visualisation) X11

Introduction

An Engineer responsible for designing and implementing scalable and robust processes to support various engineering capabilities. This role includes extracting, transforming, and consolidating data, developing and maintaining a data platform, implementing cloud solutions, supporting DevOps practices, applying machine learning techniques, and creating data visualisations.

Job description

• Design and implement scalable and robust processes for ingesting and transforming large data sets, developing platforms, and deploying cloud solutions.
• Design, implement and maintain data pipelines that ingest large, complex data sets from a variety of data sources.
• Implement and support cloud strategies aligned with data architecture, security and governance.
• Apply DevOps practices to enhance efficiency and automation for greater scalability, including infrastructure and solutions as code.
• Integrate machine learning models into data processes and ML platform.
• Design and implement scalable and robust processes for visualising large data sets, enabling self-service visualisation and analytics.
• Develop APIs to expose the data to enterprise applications and 3rd party vendors.
• Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems.
• Provide support in the operational environment with all relevant support teams for data services.

Minimum requirements

JOB REQUIREMENTS

·       Education Background: Bachelor’s degree in Computer Science, Business Informatics, Mathematics, Statistics, Engineering, or a related field.

·       Profession Experience: 4-5 years of relevant engineering experience.

·       Technical Skills:

·         Strong understanding of data structures, algorithms, and software design.

·         Experience with structured and unstructured data, different data stores, and traditional RDBMS and data warehouses.

·         Proficiency in programming languages such as Python, Scala, Java, and C .

·         Practical experience with Apache Spark and cloud services (e.g., AWS, Azure, GCP).

·         Experience with version control systems like Git and SVN.

·         Proficiency in data visualisation tools such as PowerBI, Quicksight and QlikSense.

·         Experience with DevOps practices, including CI/CD and Infrastructure as Code.

·       Specialised Skills:

·         Data Engineering: Experience with big data, ETL, and data management processes.

·         Platform Engineering: Experience with cloud platform development and maintenance.

·         Cloud Engineering: Experience with cloud architecture and API development.

·         DevOps: Experience with DevOps practices, architecture, and operation.

·         ML Engineering: Experience with machine learning frameworks and model integration.

·         Data Visualisation: Experience with data visualisation tools and techniques.

·       Soft Skills:

·         Excellent verbal and written communication skills.

·         Strong analytical and problem-solving abilities.

·         Ability to work well in an agile, collaborative team environment.

·         Continuous learning mindset and commitment to professional development.

·         Innovative thinking and adaptability to changing business needs.

ADDITIONAL CRITERIA

• Analytical Mindset: Demonstrates a strong analytical and problem-solving ability, capable of breaking down complex data issues and devising effective solutions.
• Collaboration and Communication: Exhibits excellent interpersonal and communication skills, with the ability to articulate complex data concepts to non-technical stakeholders. Must foster a collaborative team environment and efficiently work across different departments.
• Continuous Learning: Has a strong commitment to continuous professional development, staying ahead of the latest trends and technologies in data engineering and analytics. Willingness to pursue relevant certifications and training.
• Innovative Thinking: Displays innovative thinking and a proactive approach to identifying and pursuing opportunities to improve data processes and solutions. Comfortable proposing and experimenting with new technologies or methodologies to enhance data capabilities.
• Adaptability: Demonstrates flexibility in adapting to changing business needs and technology landscapes. Can efficiently manage multiple priorities and adapt strategies in a fast-paced environment.
• Cultural Fit: Aligns with the organisation’s culture and values, contributing positively to team dynamics and company morale. Demonstrates integrity, accountability, and a strong work ethic.

Click here to apply

All the best with your applications.