Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Cape Town, Western Cape, South Africa
Open 5 months, first seen by us 154 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and optimize scalable data pipelines using Airflow, AWS Glue and Redshift
Build and maintain ETL processes for ingestion, transformation and integration
Develop infrastructure-as-code with Terraform and CloudFormation
Implement CI/CD pipelines for automated deployment of data pipelines
Implement data governance, lineage, cataloging and role-based access control
From the employer’s posting
Design, develop, and optimize scalable data pipelines using tools and technologies like Airflow, AWS Glue, AWS Redshift, AWS DataZone etc.
Build and maintain ETL processes for data ingestion, transformation, and integration from various sources.
Develop infrastructure-as-code (IaC) using tools like Terraform, CloudFormation and using our Cloud Native Data Platform.
Implement CI/CD pipelines for automated deployment of data pipelines and infrastructure updates.
Implement data governance practices, including data lineage, cataloging and role based access control.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026154 days ago
- Recorded sightings
- 102
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 15, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
WFS is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- NoSQL
- Redshift
- Terraform
- Airflow
Where the posting names them
Main Purpose The Senior Data Engineer will be responsible for designing, implementing, and maintaining robust data pipelines and infrastructure. This role requires a deep understanding of data architecture, cloud platforms, and DevOps practices to ensure scalable and efficient data systems. The ideal candidate will collaborate closely with data scientists, machine learning engineers, analysts, and DevOps teams to enable data-led decision making across the organization. Key Responsibilities Data Engineering Design, develop, and optimize scalable data pipelines using tools and technologies like Airflow, AWS Glue, AWS Redshift, AWS DataZone etc. Build and maintain ETL processes for data ingestion, transformation, and integration from various sources. Design and implement data warehousing solutions (e.g. Redshift) for high performance analytics. Ensure data quality and integrity through robust data validation, cleaning, and transformation techniques. Cloud & DevOps Architect and manage cloud-based data platforms using AWS. Develop infrastructure-as-code (IaC) using tools like Terraform, CloudFormation and using our Cloud Native Data Platform. Implement CI/CD pipelines for automated deployment of data pipelines and infrastructure updates. Monitor and optimize cloud resources for performance, cost efficiency, and scalability. Collaboration & Mentorship Work closely with data scientists, analysts and enterprise architects to align data architecture with business needs. Mentor junior data engineers and provide technical guidance on best practices and emerging technologies. Collaborate with DevOps and IT teams to ensure secure, scalable and high-availability data systems. Data Governance and Security Implement data governance practices, including data lineage, cataloging and role based access control. Ensure compliance with data privacy regulations (e.g. POPIA, ) and internal security policies. Perform regular audits and optimize data storage and processing for cost and efficiency. Requirements Key Competencies QUALIFICATIONS Bachelor’s degree in computer science, Data Science, Engineering or a related field. Master’s degree preferred Majors in Mathematics and Statistics (an Advantage) EXPERIENCE 5+ years of experience as a data engineer, with at least 2 years in a senior role. A minimum of 5+ years of experience in AWS technologies/services (AWS Redshift) Proven experience in DevOps practices including CI/CD pipelines, IaC, and cloud automation. Appropriate exposure and experience in Data Mesh (theoretical and practical) Proficiency in SQL and NoSQL databases. Excellent problem solving, analytical and communication skills. Preferred: Experience in the Financial, Banking, FinTech or Retail industry in a senior data Engineering role Experience in Agile work practices Certified AWS professional Knowledge of stream processing frameworks
Your next step
Complete your application on wfs.zohorecruit.com. The employer’s form will show what is required.
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Main Purpose The Senior Data Engineer will be responsible for designing, implementing, and maintaining robust data pipelines and infrastructure. This role requires a deep understanding of data architecture, cloud platforms, and DevOps practices to ensure scalable and efficient data systems. The ideal candidate will collaborate closely with data scientists, machine learning engineers, analysts, and DevOps teams to enable data-led decision making across the organization. Key Responsibilities Data Engineering Design, develop, and optimize scalable data pipelines using tools and technologies like Airflow, AWS Glue, AWS Redshift, AWS DataZone etc. Build and maintain ETL processes for data ingestion, transformation, and integration from various sources. Design and implement data warehousing solutions (e.g. Redshift) for high performance analytics. Ensure data quality and integrity through robust data validation, cleaning, and transformation techniques. Cloud & DevOps Architect and manage cloud-based data platforms using AWS. Develop infrastructure-as-code (IaC) using tools like Terraform, CloudFormation and using our Cloud Native Data Platform. Implement CI/CD pipelines for automated deployment of data pipelines and infrastructure updates. Monitor and optimize cloud resources for performance, cost efficiency, and scalability. Collaboration & Mentorship Work closely with data scientists, analysts and enterprise architects to align data architecture with business needs. Mentor junior data engineers and provide technical guidance on best practices and emerging technologies. Collaborate with DevOps and IT teams to ensure secure, scalable and high-availability data systems. Data Governance and Security Implement data governance practices, including data lineage, cataloging and role based access control. Ensure compliance with data privacy regulations (e.g. POPIA, ) and internal security policies. Perform regular audits and optimize data storage and processing for cost and efficiency. Requirements Key Competencies QUALIFICATIONS Bachelor’s degree in computer science, Data Science, Engineering or a related field. Master’s degree preferred Majors in Mathematics and Statistics (an Advantage) EXPERIENCE 5+ years of experience as a data engineer, with at least 2 years in a senior role. A minimum of 5+ years of experience in AWS technologies/services (AWS Redshift) Proven experience in DevOps practices including CI/CD pipelines, IaC, and cloud automation. Appropriate exposure and experience in Data Mesh (theoretical and practical) Proficiency in SQL and NoSQL databases. Excellent problem solving, analytical and communication skills. Preferred: Experience in the Financial, Banking, FinTech or Retail industry in a senior data Engineering role Experience in Agile work practices Certified AWS professional Knowledge of stream processing frameworks
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Cape Town, Western Cape, South Africa
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.