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Data Engineer (Platform) job at Zembo Motorcycles SMC LTD | Apply Now
Are you looking for Engineering jobs in Uganda 2025 today? then you might be interested in Data Engineer (Platform) job at Zembo Motorcycles SMC LTD
Kampala, Uganda
Full Time
About the Organisation
Zembo is spearheading Africa's shift to electric mobility. Based in Kampala, Uganda, Zembo provides affordable PayGo electric two-wheelers to low-income motorcycle-taxi drivers, commonly known as “boda-boda” drivers. Their innovative battery swapping service allows clients to quickly swap batteries within minutes at any of their numerous stations, ensuring seamless and efficient operations. By offering sustainable and cost-effective transportation solutions, Zembo is transforming the mobility landscape for boda-boda drivers and contributing to a greener future.
Zembo Motorcycles SMC Limited is leading the African transition to electric mobility. Based in Kampala, Uganda, we provide affordable (PayGo) electric two-wheelers to low-income motorcycle-taxi drivers, most known locally as “boda-boda ”drivers. We offer a battery swapping service to our clients, enabling to swap within minutes at any of our stations.
Job Title
Data Engineer (Platform) job at Zembo Motorcycles SMC LTD
Zembo Motorcycles SMC LTD
Job Description
Job Title: Data Engineer (Platform)
Organisation: Zembo Motorcycles SMC Limited
Duty Station: Kampala, Uganda
We are looking for a Senior Data Engineer with strong platform expertise to design, build, and maintain scalable data pipelines while also managing the infrastructure that supports them. As a small but fast-growing team, we need someone who can wear both hats—developing ETL/ELT pipelines while ensuring our data platform is reliable, cost-efficient, and future-proof.
This role is critical to optimizing our IoT data ingestion, analytics, and business intelligence across the company. If you love working with data pipelines, cloud infrastructure, and automation, this is a great opportunity to make a high-impact contribution.
Duties, Roles and Responsibilities
Data Engineering;
Design, build, and maintain scalable data pipelines for analytics, BI, and operational decision-making.
Develop and optimize ETL/ELT processes to move data from IoT devices, APIs, and databases.
Ensure data integrity, quality, and governance across different sources.
Improve query performance and optimize data access for BI tools like Metabase.
Support real-time and batch data processing using tools like Apache Kafka, Spark, or Flink.
Platform Engineering
Design and manage the data platform infrastructure, ensuring scalability, reliability, and cost-effectiveness.
Automate data pipeline orchestration using tools like Airflow, Dagster, or Prefect.
Own and optimize data storage solutions, including data lakes (S3, Delta Lake) and data warehouses (BigQuery, Snowflake, MariaDB).
Implement monitoring, logging, and alerting to track data pipeline health (Grafana, Prometheus).
Optimize data workflows through DevOps and Infrastructure-as-Code (Terraform, Kubernetes, Docker).
Enable self-service data tooling for analysts, engineers, and business teams
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RESIDENTIAL
Qualifications, Education and Competencies
Desired
Deep knowledge of data warehousing and ETL/ELT patterns.
Hands-on experience with data pipeline orchestration tools (Airflow, Dagster, Prefect).
Strong understanding of cloud platforms (AWS, GCP, Azure) and storage systems.
Experience with Kubernetes, Terraform, and CI/CD pipelines for data workflows.
Familiarity with streaming data technologies (Kafka, Pulsar, MQTT).
Ability to work in a fast-moving, high-ownership environment with minimal supervision.
Exposure to BI tools like Metabase, Looker, or Tableau.
Nice to have
Experience with IoT data pipelines (InfluxDB, MQTT, TimescaleDB).
Knowledge of data governance, access control, and security best practices.
Background in monitoring and optimizing high-scale data platforms.
Zembo Electric Motorcycles SMC Ltd offers a fun, supportive work environment and opportunities for continued professional growth within a fast-growing global enterprise. It is an Equal Opportunity and considers all applicants regardless of race, colour, religion, sex, marital status, sexual orientation, national origin, HIV/Aids, disability, or any other protected characteristic as established by law.
How to Apply
All candidates should apply online at the Apply Button below.
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