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Senior Data Engineer
Cape Town, South Africa; Durban, South Africa; Johannesburg, South Africa
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Location Requirement: Candidates applying for this position must currently be based in South Africa and have the legal right to work in South Africa
What you’ll work on
Full postingBuild and maintain batch and event-driven data pipelines across SQL Server, Snowflake and AWS
Protect data correctness with incremental loads, deduplication and reconciliation
Investigate and fix failed, delayed or blocked production processing
Tune SQL, stored procedures and Snowflake queries for performance and cost
Set up monitoring and alerts for failures, freshness and throughput
From the employer’s posting
Design and maintain high-volume batch and event-driven ingestion, transformation and integration processes across SQL Server, Snowflake and AWS.
Implement reliable incremental loads, change tracking, deduplication, late-arriving data handling and reconciliation.
Investigate failed or delayed processing, blocking, deadlocks and backlogs.
Improve SQL, stored procedures, execution plans, indexing, partitioning and concurrent processing.
Establish useful monitoring and alerts for failures, freshness, completeness, backlog and throughput.
What you’ll bring
All qualificationsCore experience
- 4–8 years of hands-on Data Engineering experience, including experience building and supporting production data pipelines.
- Experience with one or more of the following would be beneficial:
- Proven experience working with modern cloud and data platforms, ideally including AWS and Snowflake.
- Familiarity with Microsoft Azure is an advantage.
- Solid understanding of data modelling, database design, performance optimisation, and data engineering best practices.
- SQL Server-specific tooling such as T-SQL, SSIS and SQL Agent; C# and API integration or maintenance; Redshift or other cloud data platforms.
Qualification wording
4–8 years of hands-on Data Engineering experience, including experience building and supporting production data pipelines.
Experience with one or more of the following would be beneficial:
Proven experience working with modern cloud and data platforms, ideally including AWS and Snowflake.
Familiarity with Microsoft Azure is an advantage.
Solid understanding of data modelling, database design, performance optimisation, and data engineering best practices.
SQL Server-specific tooling such as T-SQL, SSIS and SQL Agent; C# and API integration or maintenance; Redshift or other cloud data platforms.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Powerfleet is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
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.
- C#
- Python
- SQL
- AWS
- Azure
- dbt
- Delta Lake
- Kafka
- Redshift
- Snowflake
- Spark
- SQL Server
- Airflow
- PySpark
Where the posting names them
- Airflow, dbt and automated database deployment tooling. - SQL Server-specific tooling such as T-SQL, SSIS and SQL Agent; C# and API integration or maintenance; Redshift or other cloud data platforms. - Data lineage, catalogues, data contracts and practical governance, including experience working within GDPR or POPIA requirement.
- 4–8 years of hands-on Data Engineering experience, including experience building and supporting production data pipelines. - Strong practical experience working with SQL and Python in production environments. - Proven experience working with modern cloud and data platforms, ideally including AWS and Snowflake.
- Build at IoT scale. Design and build new data products and platforms on high-volume telematics and IoT data, using modern technology such as Snowflake and AWS to turn billions of events into insight customers rely on. - Build and improve data pipelines. Design and maintain high-volume batch and event-driven ingestion, transformation and integration processes across SQL Server, Snowflake and AWS. - Protect data correctness. Implement reliable incremental loads, change tracking, deduplication, late-arriving data handling and reconciliation. Make retries, recovery and backfills safe and repeatable.
- Resolve production problems. Investigate failed or delayed processing, blocking, deadlocks and backlogs. Identify root causes and implement lasting improvements to reliability and throughput. - Tune performance and cost. Improve SQL, stored procedures, execution plans, indexing, partitioning and concurrent processing. Use Snowflake query profiles, pruning, clustering and warehouse configuration to improve efficiency. - Evolve the platform. Design maintainable data models and integration patterns. Improve existing systems through controlled changes while contributing to platform modernisation where it adds clear value.
What you will do - Build at IoT scale. Design and build new data products and platforms on high-volume telematics and IoT data, using modern technology such as Snowflake and AWS to turn billions of events into insight customers rely on. - Build and improve data pipelines. Design and maintain high-volume batch and event-driven ingestion, transformation and integration processes across SQL Server, Snowflake and AWS.
- Strong practical experience working with SQL and Python in production environments. - Proven experience working with modern cloud and data platforms, ideally including AWS and Snowflake. - Solid understanding of data modelling, database design, performance optimisation, and data engineering best practices.
- Experience with one or more of the following would be beneficial: - Familiarity with Microsoft Azure is an advantage. - Telematics, IoT, time-series or other high-volume operational data; multi-tenant systems and customer-facing reporting.
- Kafka, Kinesis or equivalent streaming platforms; Spark/PySpark and lakehouse formats such as Iceberg, Delta Lake or Hudi. - Airflow, dbt and automated database deployment tooling. - SQL Server-specific tooling such as T-SQL, SSIS and SQL Agent; C# and API integration or maintenance; Redshift or other cloud data platforms.
- Telematics, IoT, time-series or other high-volume operational data; multi-tenant systems and customer-facing reporting. - Kafka, Kinesis or equivalent streaming platforms; Spark/PySpark and lakehouse formats such as Iceberg, Delta Lake or Hudi. - Airflow, dbt and automated database deployment tooling.
Your next step
Complete your application on careers.powerfleet.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
About Powerfleet
Powerfleet (Nasdaq: AIOT; JSE: PWR) is a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry. With more than 30 years of experience, Powerfleet unifies business operations through the ingestion, harmonization, and integration of data—regardless of source—and delivers actionable insights to help companies meet their strategic objectives around Safety, Compliance, Efficiency and Sustainability. Our people-first culture and relentless innovation empower customers to achieve measurable, sustainable business improvements. Powerfleet serves over 2.6 million subscribers across more than 48,000 customers in 120 countries, with commercial operations across every major continent.
We are looking for an experienced data engineer to design, build and improve the pipelines and platforms that support operational reporting, analytics and data products. You will write production code, solve complex data and performance problems, and take responsibility for reliable delivery across established and cloud-based systems.
Working closely with data engineers, BI specialists and product teams, you will help shape technical decisions, review changes and develop engineering capability through practical guidance and shared ownership
What you will do
Build at IoT scale. Design and build new data products and platforms on high-volume telematics and IoT data, using modern technology such as Snowflake and AWS to turn billions of events into insight customers rely on.
Build and improve data pipelines. Design and maintain high-volume batch and event-driven ingestion, transformation and integration processes across SQL Server, Snowflake and AWS.
Protect data correctness. Implement reliable incremental loads, change tracking, deduplication, late-arriving data handling and reconciliation. Make retries, recovery and backfills safe and repeatable.
Resolve production problems. Investigate failed or delayed processing, blocking, deadlocks and backlogs. Identify root causes and implement lasting improvements to reliability and throughput.
Tune performance and cost. Improve SQL, stored procedures, execution plans, indexing, partitioning and concurrent processing. Use Snowflake query profiles, pruning, clustering and warehouse configuration to improve efficiency.
Evolve the platform. Design maintainable data models and integration patterns. Improve existing systems through controlled changes while contributing to platform modernisation where it adds clear value.
Deliver safe changes. Write and review production code, automate deployments and validate data correctness, performance and concurrent behaviour. Define appropriate rollback and recovery procedures.
Make operations visible. Establish useful monitoring and alerts for failures, freshness, completeness, backlog and throughput. Maintain pipeline documentation, dependency maps, runbooks and support handovers.
Support effective delivery. Translate business requirements into practical solutions, explain trade-offs and coordinate priorities and dependencies. Mentor engineers, review designs and contribute to team development and recruitment.
Improve engineering practices. Strengthen testing, security, access controls and development standards. Apply AI-assisted development and automation where useful, with human review, testing and appropriate protection of company data.
Qualifications & Experience
A relevant degree or tertiary qualification in Computer Science, Engineering, Information Technology, Data Engineering, or a related discipline, or equivalent practical professional experience.
4–8 years of hands-on Data Engineering experience, including experience building and supporting production data pipelines.
Strong practical experience working with SQL and Python in production environments.
Proven experience working with modern cloud and data platforms, ideally including AWS and Snowflake.
Solid understanding of data modelling, database design, performance optimisation, and data engineering best practices.
Experience working within modern engineering practices, including Git, code reviews, testing, and CI/CD.
Strong analytical and problem-solving skills, with the ability to troubleshoot complex data and production issues.
Experience mentoring engineers, contributing to technical discussions, or reviewing technical designs is advantageous.
Nice to have
Experience with one or more of the following would be beneficial:
Familiarity with Microsoft Azure is an advantage.
Telematics, IoT, time-series or other high-volume operational data; multi-tenant systems and customer-facing reporting.
Kafka, Kinesis or equivalent streaming platforms; Spark/PySpark and lakehouse formats such as Iceberg, Delta Lake or Hudi.
Airflow, dbt and automated database deployment tooling.
SQL Server-specific tooling such as T-SQL, SSIS and SQL Agent; C# and API integration or maintenance; Redshift or other cloud data platforms.
Data lineage, catalogues, data contracts and practical governance, including experience working within GDPR or POPIA requirement.
Location Requirement: Candidates applying for this position must currently be based in South Africa and have the legal right to work in South Africa.
EEO/ BEE Statement
Powerfleet is an equal opportunity employer committed to employment equity, diversity, and inclusion. In alignment with the Employment Equity Act 1998 and our Employment Equity plan, we actively encourage applications from designated groups, including Black people, women, and individuals with disabilities.
As part of our commitment to transformation and in accordance with the Broad-Based Black Economic Empowerment Act, preference may be given to candidates from designated groups where appropriate. All qualified applicants will be considered based on merit, skills, and experience.
We are committed to providing reasonable accommodation throughout the recruitment process. If you require support or adjustments, please let us know.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Cape Town, South Africa; Durban, South Africa; Johannesburg, South Africa
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Data lineage, catalogues, data contracts and practical governance, including experience working within GDPR or POPIA requirement. Location Requirement: Candidates applying for this position must currently be based in South Africa and have the legal right to work in South Africa. EEO/ BEE Statement