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About the Organisation
Autochek is an automotive technology development company that is building the infrastructure to make car ownership more accessible and affordable in Africa. With active operations in 9 countries across East, West, and North Africa, a partner-led retail footprint in over 1,500 dealers and workshop locations, and more than 70 banking partners, Autochek is improving Africa’s automotive finance value proposition by bringing all relevant stakeholders together to enable easier access to more financing options as a catalyst for growth in Africa’s automotive industry.
Data Engineer job at Autochek | Apply Now
Kampala, Uganda
Autochek is a leading automotive technology company dedicated to transforming the automotive industry across Africa by providing seamless solutions for buying, selling, and servicing vehicles. With a mission to make car ownership and maintenance easier and more accessible, Autochek has quickly gained recognition for its innovative approach and has earned a strong reputation for reliability and customer-centric services.
The company values a dynamic work culture that fosters creativity, collaboration, and personal growth, offering employees opportunities for professional development, flexible work arrangements, and competitive compensation. Since its establishment, Autochek has evolved from a simple platform for vehicle listings to a comprehensive service provider, utilizing technology to streamline the automotive value chain. Its business model is centered around digital innovation, enabling buyers and sellers to connect, as well as providing financing and after-sales services. With an expanding footprint in multiple African countries, Autochek continues to grow, positively impacting the automotive sector and fostering a sustainable future.
The company’s core values include integrity, excellence, and inclusivity, all while maintaining a commitment to corporate social responsibility through initiatives such as road safety education and community engagement. Autochek is committed to making a positive impact in the communities it serves while empowering its employees to drive the company's success. For more information, visit their website at www.autochek.africa.
Are you looking for Engineering jobs in Uganda 2025 today? then you might be interested in Data Engineer job at Autochek
Full Time
Deadline:
25 Mar 2025
Job Title
Data Engineer job at Autochek
Autochek
Job Description
Job Title: Data Engineer
Organisation: Autochek Uganda
Duty Station: Kampala, Uganda
We seek to engage a highly skilled and experienced Data Engineer who will work within the Business Intelligence team to orchestrate data extraction from multiple data sources. Our data landscape is a largely diverse enterprise with data sources ranging from traditional relational database management systems to 3rd Party cloud solution providers and no-code/low-code platforms. As such, a lot of data extraction jobs are largely API driven. You would be required to build systems that perfectly execute data extraction and transformation to support the data analytics teams and drive speedy decision-making across the enterprise.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
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How to Apply
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B.Sc. Degree or its equivalent in Statistics, Mathematics, Engineering or a related field.
3+ Years building and orchestrating data pipelines
5+ years writing clean, usable and well-documented Python code
Experience working with a startup will be considered an advantage
Proficiency in ETL development using Python and SQL.
You have experience working with ELT platforms like StitchData, and Fivetran.
Hands-on experience with Python data processing frameworks such as PySpark and Pandas.
Good Knowledge of Software Development Standards and best practices such as Test- Driven Development (TDD), KISS etc
Experience with using CI/CD tooling to analyse, build, test and deploy your code
Knowledge of Data Warehousing Concepts and Data Warehouse Modelling.
Experience working with at least one Cloud Data Warehouse Solution (Google BigQuery Preferred).
Good understanding of design choices for data storage and data processing, with a particular focus on cloud data services.
Experience with data flow orchestration tools such as Apache Airflow or Airbyte is an advantage.
Experience with distributed computing and container orchestration (Kubernetes) is an advantage.
Experience with Microservices and Event-Driven architecture is an advantage
