About the job
Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.
We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.
Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.
We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.
Your Responsibilities
- Lead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.
- Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.
- Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.
- Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.
- Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.
- Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.
- Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).
- Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

