Senior Data Engineer at Robert Walters

My client is a fast-growing finance and technology company operations in Sub-Saharan Africa. They deliver personal lending products through online, mobile phone and branch channels. They are recruiting a new member of the data team to help execute the credit scoring roadmap. The ideal candidate must balance analytical diligence with a willingness to learn and innovate. A healthy spirit of adventure and sense of humour would be helpful.

Key Responsibilities:
Data Architecture and Modeling:

•  Design and develop data architectures that support the organization's data needs.
•  Design and optimize data models to ensure efficient data storage, retrieval, and analysis.
•  Develop and maintain data dictionaries, data lineage, and metadata.

ETL Development and Maintenance:

•  Develop and maintain ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
•  Monitor and troubleshoot ETL processes to ensure timely and accurate data processing.
•  Optimize ETL processes for performance, scalability, and maintainability.

Database Design and Administration:

•  Design, implement, and maintain databases to support the organization's data needs.
•  Ensure the security, availability, and reliability of databases through monitoring, backup, and recovery procedures.
•  Tune database performance to improve query speed and reduce downtime.
•  Develop and maintain database documentation and data dictionaries.

Data Quality and Governance:

•  Develop and maintain data quality standards and processes to ensure the integrity and accuracy of data.
•  Collaborate with data stakeholders to establish data governance policies and procedures.
•  Monitor data quality and take corrective actions as needed.

Collaboration and Communication:

•  Collaborate with cross-functional teams to identify data needs and requirements.
•  Work closely with data scientists, analysts, and other stakeholders to ensure data availability and integrity.
•  Communicate technical information to non-technical stakeholders.
•  Mentor junior members of the data engineering team.

Leadership and Team Management: 

•  Proven experience in leading and managing technical teams, including coaching and mentoring team members.
•  Strong leadership skills with the ability to inspire and motivate team members towards achieving common goals.
•  Excellent team-building and collaboration abilities to foster a positive and productive work environment.

Required Qualifications:

•  Bachelor's or Honors degree in Computer Science, Software Engineering, Information
• Systems, or a related field.
•  4 to 5+ years of experience in data engineering, database administration, or a related field.
•  Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or
• Oracle.
•  Experience with data warehousing and ETL tools such as Apache Airflow, Talend, or
• Informatica.
•  Knowledge of data modeling, data architecture, and database design principles.
•  Strong programming skills in languages such as Python, Java, or Scala.
•  Understanding of distributed systems, cloud infrastructure, and big data technologies such as
• Hadoop, Spark, or Kafka.
•  Knowledge of data governance, data privacy, and regulatory compliance is a plus.
•  Excellent communication and collaboration skills, with the ability to work effectively in a
• team environment.