Kofa IT Jobs in Accra
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2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
Ready to lead the architecture of digital pipelines that will electrify Africa? Kofa is seeking an experienced Senior Data Engineer to spearhead our mission of revolutionizing energy access across the continent through cutting-edge data infrastructure!
About Kofa:
Kofa is leading the charge in Africa’s sustainable energy transformation. We’re building an intelligent battery swapping network that’s bringing clean, affordable power to millions - from bustling city centers to remote villages. Our innovative Swap & Go stations and smart Kore2 batteries are generating a tsunami of data that’s crucial to optimizing our network and accelerating clean energy adoption.
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The Opportunity:
As a Senior Data Engineer at Kofa, you’ll be the chief architect of our data ecosystem. Your expertise will design and implement the robust pipelines and efficient storage systems that transform our flood of raw data into a well-organized reservoir of actionable insights, driving strategic decisions and operational excellence.
What You’ll Do:
Architect and implement scalable, high-performance data pipelines to ingest, process, and store data from our rapidly growing network of smart batteries and swap stations
Lead the development of sophisticated ETL processes to clean, transform, and load data from various sources into our data warehouse
Design and oversee the implementation of our data lake architecture, ensuring efficient storage, easy accessibility, and scalability for large-scale datasets
Spearhead the implementation of real-time data streaming solutions to enable instant analytics and decision-making
Collaborate closely with data scientists to create efficient data models that support advanced analytics and machine learning projects
Optimize database performance and query efficiency to handle millions of daily transactions, ensuring seamless scalability
Develop and implement robust data validation and quality assurance processes to maintain data integrity across all systems
Create comprehensive data documentation and metadata management systems to support organization-wide data literacy
Lead initiatives on data security and compliance measures to protect sensitive information and ensure regulatory adherence
Mentor junior data engineers and provide technical leadership to the data team
Collaborate with cross-functional teams to understand complex data needs and architect innovative solutions
Contribute to strategic decision-making on data infrastructure and technology stack evolution
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What You’ll Need:
Minimum of 5 years of professional experience in data engineering, with a track record of leading complex projects
A degree in Computer Science, Data Engineering, or a related field; advanced degree preferred
Expert-level proficiency in Python, Java, or Scala, with a portfolio of significant data engineering projects
Extensive experience with big data technologies (Hadoop, Spark, Kafka, or similar) in production environments
Advanced knowledge of SQL and NoSQL databases, with experience in performance tuning and optimization
Strong expertise in cloud platforms (AWS, Google Cloud, or Azure) for large-scale data processing
Deep understanding of data warehousing concepts and technologies, with experience in designing and implementing data warehouses
Proven experience in data modeling and ETL design for complex, high-volume data systems
Comprehensive understanding of data security, privacy best practices, and relevant regulatory requirements
Experience leading teams or mentoring junior engineers in data engineering practices
Excellent problem-solving skills with a track record of optimizing complex data systems
Strong communication skills to collaborate with diverse teams and explain complex technical concepts to non-technical stakeholders
Passion for clean energy and sustainable development, with an understanding of the unique challenges in the African context
Bonus: Experience with IoT data systems, energy sector data management, or data engineering in emerging markets
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
Ready to lead the architecture of digital pipelines that will electrify Africa? Kofa is seeking an experienced Senior Data Engineer to spearhead our mission of revolutionizing energy access across the continent through cutting-edge data infrastructure!
About Kofa:
Kofa is leading the charge in Africa’s sustainable energy transformation. We’re building an intelligent battery swapping network that’s bringing clean, affordable power to millions - from bustling city centers to remote villages. Our innovative Swap & Go stations and smart Kore2 batteries are generating a tsunami of data that’s crucial to optimizing our network and accelerating clean energy adoption.
ADVERTISEMENT - CONTINUE READING BELOW ↓
The Opportunity:
As a Senior Data Engineer at Kofa, you’ll be the chief architect of our data ecosystem. Your expertise will design and implement the robust pipelines and efficient storage systems that transform our flood of raw data into a well-organized reservoir of actionable insights, driving strategic decisions and operational excellence.
What You’ll Do:
Architect and implement scalable, high-performance data pipelines to ingest, process, and store data from our rapidly growing network of smart batteries and swap stations
Lead the development of sophisticated ETL processes to clean, transform, and load data from various sources into our data warehouse
Design and oversee the implementation of our data lake architecture, ensuring efficient storage, easy accessibility, and scalability for large-scale datasets
Spearhead the implementation of real-time data streaming solutions to enable instant analytics and decision-making
Collaborate closely with data scientists to create efficient data models that support advanced analytics and machine learning projects
Optimize database performance and query efficiency to handle millions of daily transactions, ensuring seamless scalability
Develop and implement robust data validation and quality assurance processes to maintain data integrity across all systems
Create comprehensive data documentation and metadata management systems to support organization-wide data literacy
Lead initiatives on data security and compliance measures to protect sensitive information and ensure regulatory adherence
Mentor junior data engineers and provide technical leadership to the data team
Collaborate with cross-functional teams to understand complex data needs and architect innovative solutions
Contribute to strategic decision-making on data infrastructure and technology stack evolution
ADVERTISEMENT - CONTINUE READING BELOW ↓
What You’ll Need:
Minimum of 5 years of professional experience in data engineering, with a track record of leading complex projects
A degree in Computer Science, Data Engineering, or a related field; advanced degree preferred
Expert-level proficiency in Python, Java, or Scala, with a portfolio of significant data engineering projects
Extensive experience with big data technologies (Hadoop, Spark, Kafka, or similar) in production environments
Advanced knowledge of SQL and NoSQL databases, with experience in performance tuning and optimization
Strong expertise in cloud platforms (AWS, Google Cloud, or Azure) for large-scale data processing
Deep understanding of data warehousing concepts and technologies, with experience in designing and implementing data warehouses
Proven experience in data modeling and ETL design for complex, high-volume data systems
Comprehensive understanding of data security, privacy best practices, and relevant regulatory requirements
Experience leading teams or mentoring junior engineers in data engineering practices
Excellent problem-solving skills with a track record of optimizing complex data systems
Strong communication skills to collaborate with diverse teams and explain complex technical concepts to non-technical stakeholders
Passion for clean energy and sustainable development, with an understanding of the unique challenges in the African context
Bonus: Experience with IoT data systems, energy sector data management, or data engineering in emerging markets
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