Job Title

Data EngineerJob SummaryThe Data Engineer is responsible for designing, building, and maintaining reliable data pipelines and infrastructure that power analytics, financial logic, and machine learning systems within an InvestTech / FinTech platform.This role ensures that data is:clean structured accessible reliable The position sits at the intersection of:engineering analytics data science The Data Engineer works closely with backend, data science, and product teams to ensure that data flows efficiently and supports real-time and batch use cases.KEY ACCOUNTABILITIES & ACTIVITIES1. Data Pipeline DevelopmentDesign and build data pipelines (ETL / ELT) Ingest data from multiple sources (APIs, databases, external providers) Ensure data is processed efficiently and reliably 2. Data Modeling & StructuringDesign data models for analytics and product usage Organize data for: financial calculations dashboards ML models Ensure consistency and clarity in data structures 3. Data Quality & ReliabilityEnsure data accuracy and integrity Implement validation and monitoring mechanisms Identify and fix data inconsistencies 4. Integration with Backend & ML SystemsWork with backend engineers to integrate data pipelines into systems Support data needs for: analytics scoring models machine learning 5. Performance & OptimizationOptimize data pipelines for speed and scalability Handle large datasets efficiently Reduce latency where required 6. Data Storage & InfrastructureManage data storage solutions (databases, data warehouses) Ensure data availability and scalability Work with DevOps on infrastructure setup 7. Monitoring & MaintenanceMonitor data pipelines and workflows Troubleshoot and resolve failures Maintain system stability 8. CollaborationWork closely with: Backend engineers Data scientists / ML engineers Financial & analytics teams Translate data requirements into scalable solutions COMPETENCIESCoreData Engineering ETL / ELT Pipelines Data Modeling Data Warehousing SQL (Strong proficiency) Technical Stack Languages: Python / SQL Databases: PostgreSQL / MySQL Data Tools: Airflow / dbt / Spark (nice-to-have) Cloud: AWS / GCP / Azure (preferred) Data & SystemsHandling large datasets Data transformation and cleaning Pipeline orchestration Soft Ownership of data quality Attention to detail Structured thinking Problem-solving mindset Clear communication JOB SPECIFICATIONSIndustry / Domain FinTech / Data-Driven PlatformsExperience3–7 years in data engineering or related roles Experience building production data pipelines Strong SQL and data handling experience PreferredExperience with financial or market data Exposure to analytics or ML systems Experience with real-time or near real-time data EducationDegree in Computer Science, Engineering, or related field (preferred) KEY PERFORMANCE INDICATORSReliability of data pipelines Accuracy and consistency of data Speed and efficiency of data processing Reduction in data-related issues Support for analytics and ML workflows