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Data Engineer-2

Data Engineer-2

RmbwestportGauteng, South Africa
8 days ago
Job description

Showing 19 Data Engineer 2 jobs in Randburg

Job Description

We are seeking Data Engineer (Front end Analytics) for a 12 month contract. Provide Technical Expertise to implement front-end analytics through Google Analytics, Tag Manager, and other relevant applications by providing relevant technical expertise. Enable the collection of customer behaviour on digital platforms. Improve the Marketing & Digital Products return-on-investment. Advance the digital marketing & analytics maturity.

The position is onsite in Randburg for a contract period of 12 months.

Key performance objectives

  • Digital property and marketing tagging, including mobile applications and Data Management Platform (for Media Audience marketplace)
  • Develop and implement data collection and data analytics processes
  • Acquire data from 1st, 2nd & 3rd party data sources and maintain databases / data systems
  • Identify, analyse and interpret trends in complex data sets - understand analytical information needs; proactively lead and identify areas of customer behaviour, and commercial base performance (inflow, base)
  • Issue reports summarizing the delivery completed in the report format approved and accepted by the Digital Analytics Team
  • Website Tracking and Marketing Tagging, including Mobile applications
  • Develop and implement data collection and data analytics processes
  • Acquire data from 1st, 2nd & 3rd party data sources
  • Setting up G4 and Universal Analytics, enhance Ecomm
  • Implementation and orders tracking, data layer implementation, goals, Funnel visualisation
  • Google Tag manager : events setup, advanced click configurations, data layer implementation
  • Firebase implementation and App Analytics set up
  • Set up of data studio dashboards
  • Supermetrics / API Integration – 3rd party software / tools integration to track all analytics reports in one place.
  • Salesforce Marketing Cloud – upskilling and entry-level support on SFMC and the integration into the Client digital eco-system
  • Customisation of reports as per goals and requirements and analysing the data accuracy.
  • Deficiencies and improvements will be discussed at weekly review, including any corrective actions or opportunities for improvements.

Qualifications : Formal Education

  • Bachelor's degree in Data Analytics, Computer Science, Digital Marketing, Statistics, or Information Systems
  • Relevant short courses / certifications in analytics & marketing technology
  • Industry Certifications (Highly Recommended)

  • Google Analytics Individual Qualification (GAIQ)
  • Google Tag Manager Certification (through Google Skillshop)
  • Google Ads Measurement Certification
  • Firebase Analytics Training
  • Salesforce Marketing Cloud Email Specialist or Administrator
  • Google Analytics 4 (GA4) & Universal Analytics (advanced configuration, event tracking, goals, funnels, e-commerce tracking)
  • Firebase (App analytics setup and tracking)
  • Google Tag Manager (GTM) (events, custom HTML tags, advanced click tracking, data layer implementation)
  • Google Looker Studio (formerly Data Studio) – creating and customising dashboards
  • Supermetrics (integrations with marketing and analytics platforms)
  • API Integration skills (pulling data from multiple sources into a central dashboard)
  • Marketing & CRM Tools
  • Salesforce Marketing Cloud (SFMC) – entry-level support and campaign analytics integration
  • Data Management Platforms (DMPs)
  • Experience with 1st, 2nd, and 3rd party data acquisition and integration
  • Knowledge of audience segmentation and marketplace platforms
  • Data layer design and implementation for websites & mobile apps
  • E-commerce tracking (transactions, orders, revenue)
  • Funnel visualisation setup
  • Cross-domain tracking
  • Data Analysis & Reporting

  • Ability to clean, transform, and interpret complex datasets
  • Campaign performance analysis and ROI tracking
  • Data Integration

  • Working with APIs for data extraction
  • Combining data from multiple sources (web, mobile, CRM, ad platforms)
  • Automation of reporting processes
  • Problem-Solving & QA

  • Debugging tracking issues
  • Relationship Building
  • Decision Making
  • Critical Appraisal
  • Holistic Thinking
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    Randburg, Gauteng R - R Y FirstRand

    Posted today

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    Job Description

    To provide required support within guidance of set processes and procedures to ensure effective movement, collection, integration, storage and provisioning of data to build solutions and meet business objectives through understanding of business unit requirements and collaboration with relevant stakeholders.

  • Produce high quality work by adhering to predefined standards and procedures and in accordance with compliance and governance standards
  • Work with enhanced processes and procedures to maintain operational efficiencies
  • Deliver work in an accurate manner to ensure consistent results
  • Draw on knowledge and experience to identify and develop solutions that leads to improved service delivery and quality
  • Adhere to quality standards, turnaround times and company policies and procedures
  • Complete relevant administration, reporting and updating of information accurately and on time
  • Conduct research on emerging technologies.
  • Recommend and implement technologies that improve cost effectiveness and systems flexibility.
  • Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements under guidance
  • Conduct hands-on work related to profiling, documenting and validating the clients
  • Execute remediation actions as agreed with client Install or update required system components
  • Implement the necessary components and frameworks required for automated deployments and task scheduling
  • Build unit and systems tests to ensure successful delivery of components into production
  • Create change scripts and sets scripts up to be ready and implemented in production
  • Utilise various components and tools which make up the data platform for enhanced service delivery
  • Create requirements and design of the technical architecture, design and development, testing, and deployment of the proposed solution
  • Under guidance and supervision work with Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of the data analytics platform
  • Learn from the Subject Matter Expert on technical environment or tools for own area of expertise
  • Provide Analytic infrastructure or big data technologies related support to Data operations and Analytic teams
  • Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools
  • Assist and work on projects to roll out and support to team members
  • Identify and utilize opportunities to assess and improve own performance
  • Contribute to teamwork and inclusivity within own team
  • Experience & Qualification

  • 2-3 years' experience in Data Analytics
  • Ab Initio experience is beneficial
  • Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

    23 / 10 / 25

    All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

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    Bedfordview, Gauteng R - R Y On Point HR & Talent Solutions

    Posted today

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    Job Description

    Job Description

    To provide required support within guidance of set processes and procedures to ensure effective movement, collection, integration, storage and provisioning of data to build solutions and meet business objectives through understanding of business unit requirements and collaboration with relevant stakeholders.

  • Produce high quality work by adhering to predefined standards and procedures and in accordance with compliance and governance standards
  • Work with enhanced processes and procedures to maintain operational efficiencies
  • Deliver work in an accurate manner to ensure consistent results
  • Draw on knowledge and experience to identify and develop solutions that leads to improved service delivery and quality
  • Adhere to quality standards, turnaround times and company policies and procedures
  • Complete relevant administration, reporting and updating of information accurately and on time
  • Conduct research on emerging technologies.
  • Recommend and implement technologies that improve cost effectiveness and systems flexibility.
  • Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements under guidance
  • Conduct hands-on work related to profiling, documenting and validating the clients
  • Execute remediation actions as agreed with client Install or update required system components
  • Implement the necessary components and frameworks required for automated deployments and task scheduling
  • Build unit and systems tests to ensure successful delivery of components into production
  • Create change scripts and sets scripts up to be ready and implemented in production
  • Utilise various components and tools which make up the data platform for enhanced service delivery
  • Create requirements and design of the technical architecture, design and development, testing, and deployment of the proposed solution
  • Under guidance and supervision work with Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of the data analytics platform
  • Learn from the Subject Matter Expert on technical environment or tools for own area of expertise
  • Provide Analytic infrastructure or big data technologies related support to Data operations and Analytic teams
  • Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools
  • Assist and work on projects to roll out and support to team members
  • Identify and utilize opportunities to assess and improve own performance
  • Contribute to teamwork and inclusivity within own team
  • Experience & Qualification

  • 2-3 years' experience in Data Analytics
  • Ab Initio experience is beneficial
  • Is this job a match or a miss?

    This advertiser has chosen not to accept applicants from your region.

    Posted today

    Job Viewed

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    Job Description

    Data Engineer Opportunity | Contract / Hybrid | Johannesburg

    We\'re looking for a skilled Data Engineer to join a dynamic digital services team working on innovative data-driven solutions across cloud, analytics, and software environments.

    If you\'re passionate about building scalable, high-performance data systems this is the role for you

    What You'll Be Doing

    Develop and maintain robust data pipelines to ensure smooth data flow from multiple sources to data warehouses.

    Write efficient, maintainable code in Python and SQL.

    Implement and optimize ETL / ELT processes to ensure accurate and reliable data ingestion, transformation, and loading.

    Design and maintain data APIs for seamless integration across systems.

    Manage and optimize relational databases for performance and reliability.

    Work with Big Data technologies such as Hadoop and Spark.

    Design and implement data models to support analytics, reporting, and machine learning use cases.

    Apply best practices in production systems management for reliability and scalability.

    Continuously improve query performance and ensure efficient data access.

    What We're Looking For

    You\'ll thrive in this role if you have experience with :

    Programming : Python & SQL

    Cloud Platforms : AWS or Microsoft Azure

    Big Data : Hadoop, Spark

    Version Control : Bitbucket, GitHub, or CodeCommit

    Deployment Tools : Bamboo, Octopus Deploy, CodeBuild, or CodeDeploy

    Strong understanding of data architecture, data modeling, and pipeline orchestration

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    This advertiser has chosen not to accept applicants from your region.

    Posted today

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    Job Description

    Ready to build scalable data solutions for a leading retail group? We\'re seeking a Senior Data Engineer (5+ yrs exp) to drive robust data pipelines connecting SAP ERP sources with AWS, Redshift, and SAS-based models.

  • Location : Johannesburg (3 days onsite, WFH Wednesdays & Fridays)
  • Tech Stack : AWS, Redshift, SAS (MUST HAVE), SAP ERP; Python desirable for new project work
  • Role Focus : Develop ETL systems, support data science on model-ready sets, APIs, and external integrations (bureau / credit sources), with emphasis on SAS credit models
  • Experience Required : Minimum 5 years in data engineering; retail and credit modeling exposure a plus
  • Compensation : R1M–R1.2M p.a.
  • EE Status : Open—best person for the job
  • Work with cross-functional teams to design and maintain high-performance pipelines, ensure governance and top-tier data quality, and enable predictive analytics powering business growth.

    If you\'re driven by innovation and enjoy collaborating with leading analytics talent in a high-performance retail setting, we want to hear from you

    Apply today for this urgent opportunity.

    Data Engineer Opportunity | Contract / Hybrid | Johannesburg

    We\'re looking for a skilled Data Engineer to join a dynamic digital services team working on innovative data-driven solutions across cloud, analytics, and software environments.

    If you\'re passionate about building scalable, high-performance data systems this is the role for you

    What You\'ll Be Doing

    Develop and maintain robust data pipelines to ensure smooth data flow from multiple sources to data warehouses.

    Write efficient, maintainable code in Python and SQL.

    Implement and optimize ETL / ELT processes to ensure accurate and reliable data ingestion, transformation, and loading.

    Design and maintain data APIs for seamless integration across systems.

    Manage and optimize relational databases for performance and reliability.

    Work with Big Data technologies such as Hadoop and Spark.

    Design and implement data models to support analytics, reporting, and machine learning use cases.

    Apply best practices in production systems management for reliability and scalability.

    Continuously improve query performance and ensure efficient data access.

    What\'s Required

    Programming : Python & SQL

    Cloud Platforms : AWS or Microsoft Azure

    Big Data : Hadoop, Spark

    Version Control : Bitbucket, GitHub, or CodeCommit

    Deployment Tools : Bamboo, Octopus Deploy, CodeBuild, or CodeDeploy

    Strong understanding of data architecture, data modeling, and pipeline orchestration

    Is this job a match or a miss?

    This advertiser has chosen not to accept applicants from your region.

    Posted today

    Job Viewed

    Tap Again To Close

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    Data • Gauteng, South Africa