Key duties and responsibilities encompass developing and executing strategic initiatives to drive organizational growth, overseeing cross-functional teams to ensure project alignment with company objectives, and analyzing performance metrics to identify opportunities for improvement. Additionally, the role involves fostering collaboration between departments to streamline workflows, mentoring junior staff to enhance their professional development, and staying abreast of industry trends to maintain a competitive edge. The position also requires preparing comprehensive reports to communicate progress to stakeholders and managing budgets to optimize resource allocation while ensuring adherence to financial guidelines.
We are looking for a seasoned Senior Data Engineer to design, develop, and enhance our data infrastructure. In this position, you will transition from basic implementation to offering technical guidance, creating scalable solutions capable of processing sensitive financial information efficiently and precisely. You will take the initiative to introduce measures that bolster data integrity while ensuring our system architecture aligns with the stringent security protocols of the Fintech sector.
Oversee a range of critical duties encompassing strategic planning, operational execution, and team leadership to drive organizational success. Develop and implement comprehensive policies, procedures, and performance metrics to enhance productivity and ensure compliance with industry standards. Foster a collaborative work environment by mentoring staff, delegating responsibilities, and promoting professional growth opportunities. Monitor key performance indicators, analyze operational data, and present actionable insights to senior management to inform decision-making. Ensure seamless coordination across departments to align goals with broader business objectives while maintaining high standards of accountability and transparency.
Design and oversee robust, scalable batch and real-time data pipelines capable of managing high-volume financial transactions.
Design cutting-edge data infrastructure with robust resilience, leveraging advanced streaming and processing frameworks such as Kafka and Spark.
Design, implement, and continuously enhance scalable ETL/ELT pipelines that seamlessly integrate critical core banking systems, proprietary platforms, and third-party APIs to ensure high-performance data processing and reliability.
Continuously enhance platform scalability through the automation of manual workflows and the re-engineering of data processes.
Ensure the integrity, reliability, and high quality of data while maintaining the accuracy of critical financial reporting and customer balances.
Embed data systems that process sensitive financial information and personally identifiable information (PII) with robust security, governance, and compliance measures from the outset.
Perform comprehensive root-cause analysis to address data anomalies and mitigate systemic issues.
Establish robust monitoring, validation, and observability frameworks to preemptively identify pipeline anomalies and data drift, ensuring operational integrity and reliability.
Mentor and coach junior data engineers to elevate technical proficiency and maintain high standards across the team.
Partner with Product, Risk, Finance, and Engineering teams to develop scalable data solutions derived from intricate business requirements.
Develop robust, analytics-ready data models and infrastructure designed to deliver actionable business insights and inform strategic decision-making.
Proven expertise, technical proficiency, and essential personal qualities are required for this role. Candidates must possess a comprehensive understanding of relevant industry standards and possess the ability to apply specialized skills effectively. Strong analytical capabilities, adaptability, and exceptional communication skills are necessary to excel in this position. The ideal applicant will demonstrate a commitment to continuous learning, problem-solving acumen, and the capacity to work collaboratively within a team environment.
Uphold Live Touraco’s core values by embodying a commitment to innovation, pursuing excellence in all endeavors, and fostering deep respect for every individual.
Seeking candidates with at least five years of hands-on experience in Data Engineering, preferably in the Financial Services or Fintech sectors.
A degree in Computer Science, Statistics, IT, or a closely related discipline is required.
Proficient in Python, Java, or Scala, with advanced programming skills.
Proven expertise in SQL with extensive practical experience in database design and data modeling. Adept at implementing and optimizing modern data warehouses, including Snowflake, BigQuery, and Redshift.
Proficiency with message queuing platforms such as Kafka and RabbitMQ, alongside experience in stream processing technologies, is required.
Proficiency in workflow management tools is required, including experience with Airflow, DBT, and Luigi.
Possesses practical experience implementing Infrastructure as Code solutions, including proficiency with Terraform and AWS CloudFormation.
Proficiency in containerization technologies, specifically Docker and Kubernetes, is required.
Proficiency in creating data visualizations with Tableau, Power BI, or open-source tools such as D3 or Matplotlib is required.
Qualifications
BA/BSc/HND
Experience Required
5 years
