Data Engineering Programme
Kumasi, Ghana
AmaliTech
We bridge the gap between IT talent in Ghana and Rwanda and the global demand for tech experts.Company Description
AmaliTech is a social business empowering the next generation of technology leaders that harness the potential of remote working to build the future of work in sub-Saharan Africa and reinvest its surplus in further training, network growth, and local community support.
AmaliTech provides employment pathways in the tech sector to young graduates in Sub-Saharan Africa, connecting them to the global demand for tech talent. Our approach combines training with employment and continuous learning because evidence shows that only this integrated approach works. By focusing on skilled IT services, we contribute to ecosystem development and the emergence of a future-proof industry with growth engine potential.
With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Kumasi and Accra) and Rwanda (Kigali).
Job Description
The AmaliTech Training Programme is a comprehensive I.T./digital skills initiative that prepares participants for successful careers in the technology industry. Designed to bridge the gap between academic knowledge and workplace skills, the programme is tailored for recent graduates in Ghana who have completed their mandatory national service within the past two (2) years.
The training includes a foundational curriculum that develops core skills in data manipulation and analysis using Python and SQL, alongside a strong understanding of ETL/ELT processes and data warehousing concepts. The advanced phase focuses on building scalable data pipelines, utilising big data tools such as Spark and Hadoop, and mastering cloud-based data platforms like Redshift and Snowflake. Participants gain hands-on experience in designing, implementing, and managing data solutions to address real-world challenges.
Programme Details
- Duration: 8 months (April 2025 – November 2025).
- Schedule: Full-time, Monday to Friday, 8:00 AM – 5:00 PM (1-hour break).
- Delivery mode: On-site (Accra and Kumasi)
- Structure: on the average:
- Instructor-led sessions: 3 hours/day.
- Self-paced learning: 3.5 hours/day.
- Project work: 2 hours/day.
- Certification: Participants receive a certificate of participation upon successful completion of the programme.
Post-Training Opportunities
Upon successful completion of the programme and the capstone project:
- Successful Candidates will be directly employed by AmaliTech in a rewarding long term career opportunity in the IT landscape.
- Candidates are also free to pursue opportunities with other organisations.
Qualifications
Education:
- Option 1: A tertiary degree or HND in Computer Science, Computer Engineering, Information Technology, Statistics, Mathematics, or any STEM-related program with at least one year of experience.
OR
- Option 2: Any other tertiary degree or diploma with at least two years of experience in data engineering
Skills and Experience:
- Option 1:
- Experience in data manipulation and analysis using Python and SQL.
- Familiarity with ETL/ELT processes and data warehousing concepts.
- Experience with big data tools (e.g., Spark, Hadoop, Redshift, Snowflake) is a plus
OR
- Option 2:
- Strong proficiency in Python and SQL for data manipulation and analysis.
- Practical experience with data pipelines, ETL/ELT processes, and data warehousing.
- Demonstrable experience through data engineering projects (e.g., a portfolio, online courses, or certifications
Additional Information
Logistics
- Location: Accra and Kumasi.
- Stipend: Participants receive a generous monthly stipend to support their living expenses during the training.
- Accommodation & Transport: No direct accommodation or transport support is provided.
Additional Requirements
- Technology: Participants must have access to a laptop and required software. Details of specific requirements will be communicated prior to the start of training.
- Assessment Process:
- General application. Click “I’m Interested” to apply.
- Online coding assessment.
- Online technical interview.
Application deadline is February 28, 2025.
Talk to the Talent Acquisition Team
Potential applicants are encouraged to contact the Recruitment Team to address concerns or clarification. Importantly, AmaliTech provides accommodations during the training and application process for persons with disability (PWDs) by:
- Email: recruitment@amalitech.com
- Phone: 0593878161, 0594003097 or 050 161 9835
Documents To Submit
- Current CV
- Certificate and transcript (provisional are accepted)
- Ghana Card
- Any other related documents (optional)
What to Expect
Joining AmaliTech offers excellent career growth and development opportunities in a diverse and inclusive work environment. Our talented and welcoming team will ensure you feel supported throughout your journey.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data pipelines Data Warehousing ELT Engineering ETL Hadoop Mathematics Pipelines Python Redshift Snowflake Spark SQL Statistics STEM
Perks/benefits: Career development Gear Home office stipend Startup environment
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