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Cape Town City Centre: Data Engineer




Date 2024-07-12
Job Title Data Engineer
Employer
More Information
Salary Negotiable
Category It Computing Software
Location Cape Town Region
/ Cape Town City Centre

Job Summary

As an Engineer for our Data/Martech practice, you will play a key role in the development and delivery of our marketing technology and data solutions, from the implementation of tools like CDPs through to the development of custom algorithms, effectiveness measurement, budget modeling, reporting solutions, and other automation. You will serve as the primary engineering lead for our work on this front, both in South Africa and globally. Advanced Programming Knowledge: You should have a grasp of data structures and algorithms, and familiarity with system design principles. Proficiency in Programming Languages: Experience with Python and JavaScript is essential, but more importantly, you should understand the underlying mechanics of how languages work, such as memory management, type systems, and concurrency models. Database and Data Handling Skills: You should be proficient in SQL and have experience with database technologies like BigQuery. Your ability to design and optimize queries and understand database architecture is crucial. Software Development Practices: You must be experienced in developing robust, clean, and maintainable code. This includes a strong grasp of software engineering principles, version control systems (e.g., Git), and continuous integration/continuous deployment (CI/CD) workflows. API Integration and Development: Beyond just using APIs, you should understand how to design and implement them. Knowledge of APIs like Google Ads, Facebook/Meta Ads, Amazon, and others are essential. Analytical Thinking and Problem Solving: We value candidates who can think critically about complex problems, propose solutions that are both innovative and practical, and have a track record of implementing these solutions effectively. Experience working as part of a marketing tech or data engineering team. Strong organizational skills along with the demonstrated ability to work to a deadline. A start up mentality and personality. Willingness to travel for client engagements as needed and for company retreats once a year. Experience in an early stage start-up and/or a marketing agency/consultancy. Experience working with marketing tools like Google Tag Manager, CDP, CRM, Looker studio or other visualisation tools. Previously worked on or contributed to open-source projects relevant to marketing technology or data, including MMMs, pLTV, et al. Experience working with merchant product feeds, as on Shopify, Google, Amazon and others. Lead the day-to-day implementation work for customer Martech projects as well as assist in the development of our internal capabilities and tools for the delivery of paid media and analytics solutions. You will play a key role in all Martech projects from ideation, implementation, testing, release, and ongoing maintenance. Understand stakeholder needs on both the company`s side as well as our clients’ requirements, and provide solutions that both advance our company strategy and solve problems. Help foster sustainable, scalable development practices as this team expands globally. You will also support new business development, partnerships with Martech platforms, and new proposition development in this space.

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2024-07-12 in the It Computing Software category

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Cape Town City Centre: Data Engineer




Date 2024-07-10
Job Title Data Engineer
Employer
More Information
Salary
Category It Computing Software
Location Cape Town Region
/ Cape Town City Centre

Job Summary

Location: Remote/Hybrid Reports To: Chief Technical Officer Employment Type: Permanent About the Role: Our client is seeking a talented Data Engineer to join their dynamic team. This role is essential in building and maintaining the infrastructure for optimal data extraction, transformation, and loading. The Data Engineer will ensure the team has access to high-quality, reliable data to drive machine learning projects and business decisions. Key

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– Data Infrastructure Development: Design, develop, and maintain scalable data pipelines and systems. – ETL Processes: Build and optimize ETL (Extract, Transform, Load) processes for efficient and accurate data collection and storage. – Database Management: Manage and optimize database systems, ensuring data integrity, performance, and security. – Collaboration: Work closely with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver necessary data solutions. Skills/Experience/Qualifications Required: – Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. – Experience: Proven experience as a Data Engineer, Data Architect, or in a similar role. – Technical Skills: – Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). – Experience with data pipeline and workflow management tools. – Knowledge of big data tools and technologies (e.g., Hadoop, Spark). – Proficiency in programming languages such as Python. – Experience with cloud services (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Redshift, BigQuery). – Analytical Skills: Strong problem-solving skills and the ability to design efficient data solutions. – Communication: Excellent verbal and written communication skills to collaborate effectively with team members and stakeholders. Performance Expectations: – Deliver robust and efficient data pipelines and systems that meet project requirements. – Ensure data accuracy, integrity, and availability. – Collaborate effectively with data scientists and machine learning engineers to support their data needs. – Continuously improve data processing and automation workflows. Benefits and Compensation: – Competitive salary based on experience. – Hybrid and remote work options. – Professional development opportunities and access to the latest data engineering tools and resources. Challenges and Opportunities: – Challenges: Working with large and complex data sets, ensuring data quality and performance, and keeping up with rapidly evolving data engineering technologies. – Opportunities: Contribute to cutting-edge data projects, work with a talented and diverse team, and advance your expertise in data engineering. If you`re passionate about data engineering and eager to tackle new challenges, we`d love to hear from you

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2024-07-10 in the It Computing Software category

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Cape Town City Centre: Data Engineer




Date 2024-06-21
Job Title Data Engineer
Employer
More Information
Salary Negotiable
Category It Computing Software
Location Cape Town Region
/ Cape Town City Centre

Job Summary

We`re looking for a Data Engineer to join our Cape Town based team. The successful person must be based in Cape Town as there will be a requirement to go into the office 3 times per week. This will be for an initial 12 month contract. The purpose of this position is modelling data to provide clean, accurate datasets so that different users within the team can work with them. This role entails transforming, testing, and documenting data assets. – Model raw data into clean, tested, and reusable datasets making it easier for other analysts and other stakeholders to view and understand data in the data lake. – In-depth understanding of data warehousing concepts, as well as experience with ETL (extract, transform, load) tools and processes is essential to designing data pipelines. – Support in defining data quality expectations and provide ongoing tracking and monitoring of performance of data systems and models. – Set software engineering best practices for analytics such as: – Version control to trace the history of changes in datasets and roll back to older versions if something goes wrong. – Data unit testing to examine small chunks of data transformations for quality and correspondence to the set tasks; and – Continuous integration and continuous delivery (CI/CD) to ensure up-to-date and reliable data. – Work with data scientists and analytics to collect and clean data for analysis. – Develop, validate, and execute algorithms and predictive models to collect, merge, analyse, extract, and interpret large and complex datasets. – Use data to investigate complex problems, detect patterns and extrapolate insights that delivers business value and impact. – Design data models, as well as, developing and maintaining data pipelines. Relevant IT/ Data Qualification Location: Cape Town (Hybrid way of work – 3 days onsite) Initial 12 month contract 5 years’ experience as a Data Engineer Excellent knowledge of Cloud based technology (AWS or Azure) and use of other various data science toolkits such as Python/R, PySpark, Git, Bash, Ubuntu/Linux, SQL, Docker, REST APIs, PowerBI Experience delivering project outcomes using design thinking, lean and agile principles. Experience in a retail and Financial Services is beneficial

Data Engineer position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2024-06-21 in the It Computing Software category

Click Go Apply to apply online!


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Aws Data Engineer –Pretoria – R800k To R1mil Per Annum

Johannesburg: Senior Data Engineer (Aws)- Johannesburg – R800k To R1mil Per Annum

A leading African Corporate Investment Bank and part of one of the largest financial services groups that are passionate Solutionists who offer clients innovative advisory, funding, trading, corporate banking and principal investing solutions have a vacant


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Senior Data Engineer (Aws)- Johannesburg – R800k To R1mil Per Annum

Johannesburg: Data Engineer

Job Summary: We are seeking an experienced Data Engineer to join our data team and work closely with the Data Specialist to design, develop and implement efficient data pipelines to support business operations and decision-making. The ideal candidate shoul


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Data Engineer

Centurion: Data Engineer – Centurion – Permanent– Up To R720k Per Annum

Join a dynamic team at a major telecommunications company in Johannesburg as a Data Engineer. They are seeking a highly skilled and experienced professional to play a pivotal role in transforming their data infrastructure and driving data-driven decision-m


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Data Engineer – Centurion – Permanent– Up To R720k Per Annum

Johannesburg: Data Engineer – Johannesburg – Permanent– Up To R1mil Per Annum

An esteemed and forward-thinking bank in South Africa is seeking a highly experienced Data Engineer to join their innovative team. This permanent position offers a competitive salary of up to R1 Million per annum and is based in the vibrant city of Johanne


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Data Engineer – Johannesburg – Permanent– Up To R1mil Per Annum

Johannesburg: Aws Data Engineer – Johannesburg – R900k To R1.1Mil Per Annum

Pioneers in harnessing the power of Artificial Intelligence (AI) to deliver actionable insights and drive transformative change for businesses worldwide whose and vision is to provide next generation actionable insights to every company, globally, by harne


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Aws Data Engineer – Johannesburg – R900k To R1.1Mil Per Annum

Centurion: Senior Data Engineer

The Data Engineer will have a knack for data analysis, data manipulation and data modelling and will be responsible for understanding and driving the overall technical vision and planning of a client`s organisation and translating business needs into techn


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Senior Data Engineer

Johannesburg: Data Engineer

Duties and Responsibilities Collaborate with Business and the Markets Data Analyst to understand the requirements and BI solution which meet the business needs. Collaborate within the team to determine the tasks required to deliver the Analytics solution.


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Data Engineer

Midrand: Aws Data Engineer (Expert)

Essential Skills Requirements: - Terraform - Python 3.x - SQL (Oracle/PostgreSQL) - PySpark - Boto3 - ETL - Docker - Linux / Unix - Big Data - PowerShell / Bash - Enterprise Collaboration tools (e.g., Confluence, JIRA) - Experience with data formats: Parqu


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Aws Data Engineer (Expert)

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