Oversee and execute a comprehensive range of duties and obligations, ensuring alignment with organizational objectives. Develop, implement, and monitor strategic initiatives to drive efficiency and innovation while maintaining compliance with industry standards. Collaborate across departments to streamline processes, optimize resource allocation, and enhance cross-functional teamwork. Lead project planning, execution, and evaluation to achieve measurable outcomes and continuous improvement. Foster a culture of accountability, professional growth, and high performance through mentorship, feedback, and performance management. Analyze key performance indicators to inform data-driven decision-making and strategic adjustments. Ensure adherence to regulatory requirements, ethical guidelines, and best practices in all operational activities.
We are in search of a seasoned Senior Data Engineer to design, construct, and refine our data infrastructure. This position demands more than routine implementation; it requires technical stewardship in crafting scalable systems capable of processing confidential financial data with precision and efficiency. You will spearhead initiatives to enhance data integrity while guaranteeing our architecture complies 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, implement, and monitor processes that enhance efficiency, productivity, and compliance with industry standards. Collaborate cross-functionally to align initiatives with company objectives while fostering a culture of accountability and innovation. Resolve complex challenges promptly, leveraging analytical skills and stakeholder engagement to optimize outcomes. Ensure adherence to regulatory requirements and internal policies through vigilant oversight and continuous improvement efforts.
Design, implement, and maintain robust, scalable batch and real-time data pipelines capable of processing high-volume financial transactions efficiently. Take full ownership of these pipelines, ensuring reliability, performance, and scalability to meet evolving business demands.
Design robust data infrastructure leveraging cutting-edge streaming and processing solutions such as Apache Kafka and Apache Spark to ensure high availability, scalability, and fault tolerance.
Construct and refine high-performance ETL/ELT pipelines that seamlessly integrate core banking systems, internal platforms, and third-party APIs while ensuring their ongoing optimization and stability.
Continuously enhance platform scalability through the automation of manual workflows and the re-engineering of data processes.
Maintain high standards of data quality, reliability, and accuracy to ensure the integrity of critical financial reporting and customer balances.
Integrate security, governance, and compliance measures into every data system responsible for processing sensitive financial data and personally identifiable information (PII) from the outset.
Perform comprehensive root-cause analysis to systematically identify and resolve data anomalies, thereby mitigating potential systemic issues before they escalate.
Establish proactive monitoring, validation, and observability frameworks to identify pipeline failures and data drift before they escalate, ensuring system reliability and data integrity.
Provide leadership and support to junior data engineers, fostering a culture of technical excellence and continuous improvement within the team.
Partner with Product, Risk, Finance, and Engineering teams to design and implement scalable data solutions that effectively address intricate business requirements.
Develop sophisticated, analytics-ready data models and frameworks, alongside the necessary tools, to facilitate the generation of actionable business insights and informed decision-making.
We are seeking a candidate with strong technical expertise and a proven track record of delivering results in their field. The ideal applicant will possess specialized knowledge in key areas relevant to the role, along with the ability to apply analytical and problem-solving skills to complex challenges. They should demonstrate leadership qualities, adaptability, and a commitment to continuous learning. Additionally, the role requires excellent interpersonal and communication abilities to collaborate effectively with teams and stakeholders.
Live Touraco’s core values embody a commitment to innovation by pushing beyond conventional limits, upholding uncompromising standards of excellence in all endeavors, and fostering a deep, unwavering respect for each individual’s dignity and contributions.
Seeking candidates with a minimum of five years of hands-on experience in Data Engineering, preferably within the Financial Services or Fintech sectors.
A Bachelor’s degree in Computer Science, Statistics, IT, or a closely related discipline is required.
Demonstrates exceptional expertise in Python, Java, or Scala, with strong proficiency in programming.
Seeking a professional with advanced proficiency in SQL and extensive practical expertise in database design and data modeling. The ideal candidate will bring significant experience working with contemporary data warehouse solutions, such as Snowflake, BigQuery, or Redshift.
Big Data Tech: A working understanding of message queuing platforms such as Kafka and RabbitMQ, as well as stream processing techniques, is required.
Professionals should possess hands-on experience with workflow management platforms, including Airflow, DBT, and Luigi, to effectively design, schedule, and oversee automated processes.
Proven expertise in Infrastructure as Code technologies, specifically Terraform and AWS CloudFormation, is essential for this role.
Proficiency in containerization technologies, including Docker and Kubernetes, is required.
Proficiency in creating data visualizations with Tableau, Power BI, or open-source tools such as D3 and Matplotlib is required.
Qualifications
BA/BSc/HND
Experience Required
5 years
