Data Engineer

Kora is a payment infrastructure. We provide ready-made payment solutions for companies to launch a customized payment experience for their customers. Our vision, which guides our daily activities, is to create a world free of digital financial barriers across Africa. We're dedicated to offering reliable, secure, and user-friendly digital financial solutions to every customer, with the assurance that it positively impacts their lives. We strongly believe in our ability to overcome challenges and find solutions. We appreciate positive energy, clear communication, and are committed to creating an inclusive environment for people from all backgrounds. About the Role We’re looking for a top-notch Data Engineer to join the team in charge of Kora’s data infrastructure and AI strategy. The goal is to enhance and automate processes, identify and capitalize on growth opportunities, foster a data-driven culture, and develop and construct AI products. As a member of the AI and Data team at Kora, you'll collaborate with cross-functional teams to grasp current processes, identify problem-solving opportunities, develop custom tools, algorithms, models, optimize deployment workflows, and engineer data-driven solutions to business issues. The role requires exceptional problem-solving skills, a knack for data management (including big data), ability to derive valuable insights, coding expertise to automate the extraction of insights, predictive capabilities, and decision-making skills. As an innovative tech company, we value the ability to design unique data-driven solutions that align with our specific objectives and goals. What You’ll be Doing As a technology and data-driven organization, we empower our teams to take initiative, identify areas that need improvement, and solve problems in a sustainable way. Key responsibilities include: - Understanding Kora’s objectives and developing measurable and trackable data models. - Collaborating with other teams to extract value from Kora’s data and establish a data infrastructure. - Identifying valuable data sources, automating data collection processes, developing new systems and processes, improving data flow. - Coordinating data acquisition, verifying data quality, and finding available datasets. - Creating automated anomaly detection systems and consistently tracking their performance. - Evaluating business needs and objectives to build data systems and pipelines. - Combining raw data from required sources, analyzing and organizing them, interpreting trends and patterns. - Conducting complex data analysis and reporting on results. - Preparing data for prescriptive and predictive modeling. - Building analytical tools, programs, algorithms, and prototypes. - Enhancing data quality and reliability. - Documenting data processes. - Engineering accurate data for data-driven operations. - Turning structured and unstructured data into useful information, tools, and insights. - Presenting information using data visualization techniques. - Staying informed on developments in data engineering and researching best practices. Requirements What You’ll Need Eligibility for the role demands: - 3+ years of experience in developing custom solutions to optimize deployment workflows and solve business problems. - A diverse portfolio featuring live products. - Creative thinking and a drive to introduce innovative changes. - Passion for delivering an excellent user and customer experience. - Eagerness to learn from teams, operations, and product users. - Data-driven approach and leadership skills in data management. - Self-directed and driven with a collaborative mindset. - Efficient use of tools and software, including Tableau, Python, NumPy, Jupiter, MySQL, and modeling tools. - Excellent data analysis and pattern recognition skills. - Attention to detail and positive energy. - Effective workload management skills. Additionailly desirable: - Experience in data science and data analysis. - A Bachelor’s degree in Data Engineering, Computer Science, Management Information Systems, Engineering, Data Science, or a related field. - A portfolio illustrating problem-solving experiences with data engineering and data science. Benefits - Health Insurance - Stock Options - Sponsored and Tailored training - Parental Leave - Paid Time Off - Flexible work style - Compensation for internet usage - Annual Performance Bonus - Interest-free Loans - Employee Assisted Programs - Birthday leave - Excellent company culture and the chance to work with an inclusive team building something great!