Oversee critical functions and deliverables, ensuring alignment with organizational objectives through strategic planning and execution. Develop and maintain robust processes to enhance operational efficiency and mitigate risks. Collaborate cross-functionally to drive initiatives, resolve complex challenges, and foster innovation. Monitor key performance indicators to assess progress and recommend data-driven improvements. Ensure compliance with regulatory standards and internal policies while promoting a culture of accountability and continuous development. Provide leadership and mentorship to teams, empowering them to achieve excellence and adapt to evolving business demands.
We are in search of a seasoned Senior Data Engineer to design, develop, and enhance our data infrastructure. This position entails transcending routine implementation to deliver strategic technical direction—engineering scalable solutions capable of processing sensitive financial data with both efficiency and precision. You will spearhead initiatives to bolster data integrity and uphold the stringent security protocols essential to the Fintech sector.
Oversee a comprehensive range of duties encompassing project planning, execution, and evaluation to drive organizational success. Lead cross-functional teams in the development and implementation of strategic initiatives, ensuring alignment with company objectives and timelines. Monitor progress through regular assessments, identifying key performance indicators and addressing any deviations to maintain operational efficiency. Foster collaboration among departments to streamline workflows and enhance productivity. Provide mentorship and guidance to team members, promoting professional growth and accountability. Ensure compliance with industry regulations and internal policies while maintaining high standards of quality and service delivery.
Design, build, and maintain robust, scalable batch and real-time data pipelines capable of handling high-volume financial transactions with precision and reliability. Take full ownership of the entire pipeline lifecycle, ensuring seamless integration, performance optimization, and adherence to stringent security and compliance standards.
Develop robust data infrastructure by leveraging cutting-edge streaming and processing solutions, such as Kafka and Spark.
Develop, enhance, and manage high-performance ETL/ELT pipelines that seamlessly integrate core banking systems, internal platforms, and external third-party APIs.
Diligently enhance platform scalability through the automation of manual workflows and the redesign of data processes.
Deliver robust, dependable, and precise data to uphold the integrity of essential financial reporting and maintain the accuracy of customer balances.
Integrate robust security, governance, and compliance frameworks into every data system that processes confidential financial information and personally identifiable information (PII) from the outset.
Perform in-depth root cause analyses to identify the origins of data anomalies and implement corrective measures to mitigate potential systemic risks.
Establish robust monitoring, validation, and observability frameworks designed to identify pipeline failures and data drift proactively.
Experienced data engineers will provide mentorship and guidance to junior team members, fostering an environment of technical excellence and continuous improvement across the group.
Partner with Product, Risk, Finance, and Engineering teams to develop scalable data solutions that effectively address intricate business requirements.
Develop robust, analytics-ready data models and supporting infrastructure designed to generate actionable insights, ultimately empowering informed business decisions.
Proven expertise and a comprehensive skill set are essential for this role, which demands a combination of technical proficiency, industry-specific knowledge, and strong interpersonal abilities. Candidates must exhibit exceptional analytical thinking, meticulous attention to detail, and the capacity to adapt to dynamic and fast-paced environments. Strong communication skills, both written and verbal, are critical for collaborating effectively with cross-functional teams and stakeholders. Additionally, the ability to solve complex problems efficiently and demonstrate leadership in driving projects to successful completion is highly valued. Prior experience handling similar responsibilities and a commitment to continuous professional development are required.
Embody Live Touraco’s guiding principles by championing innovation, upholding unparalleled standards of excellence, and fostering an environment rooted in deep respect for every individual.
With a minimum of five years of professional expertise in Data Engineering, preferably gained within the financial services sector or the Fintech industry.
A background in Computer Science, Statistics, IT, or a related discipline is required.
Proficiency in Python, Java, or Scala is required, with advanced skills expected.
Proficient in advanced SQL and possesses extensive practical expertise in database design and data modeling. Demonstrated experience with contemporary data warehousing solutions, including Snowflake, BigQuery, or Redshift.
A solid understanding of message queuing systems such as Kafka and RabbitMQ, as well as stream processing techniques, is required.
Proficiency in workflow management tools, including Airflow, DBT, and Luigi, is required.
Proven expertise in Infrastructure as Code solutions, including proficiency with Terraform and AWS CloudFormation, is essential.
Proficient in containerization technologies, including Docker and Kubernetes.
Proficient in creating data visualizations with tools such as Tableau, Power BI, or open-source solutions like D3 and Matplotlib.
Qualifications
BA/BSc/HND
Experience Required
5 years
