Future Standard
Financial Services
Associate,Engineering
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“Associate, Engineering at Future Standard”
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Full Job Description
Future Standard is seeking a software development engineer to provide support to the Global Engineering team. The Analyst, Software Development Engineer will work with the Global Engineering to contribute to strategic decision-making and fostering a collaborative and educational environment while actively participating in hands-on technical enhancements and design. About the Role We are looking for a Full Stack Data Engineer to build and scale modern data and AI-driven applications. The role involves working across backend systems, data pipelines, and user interfaces, leveraging technologies like Python, Snowflake, dbt, Airflow, and modern Data Stack. You will play a key role in solving complex business problems by designing end-to-end data solutions, integrating multiple data sources, and enabling analytics and insights through scalable and secure systems. Qualifications & Experience: Bachelor’s degree in Computer Science, Engineering, or a related field 3–6 years of experience in data engineering, backend, or full stack development Strong proficiency in Python and SQL for building scalable data systems Hands-on experience with ETL/ELT design and data pipeline development Experience with dbt (data build tool) for transformation, modelling, and testing workflows Experience with Airflow (or similar orchestration tools) for pipeline scheduling and automation Strong working knowledge of Snowflake or other cloud data warehouses Experience integrating data from APIs, Snowflake shares, and file-based ingestion systems Familiarity with data quality, validation, and data lineage frameworks Understanding of distributed systems, NoSQL databases, and microservices architecture Exposure to AI/ML concepts, LLMs, or RAG-based systems is a plus The successful candidate is expected to: Build and optimise scalable backend services and data pipelines using Python Design and implement end-to-end ETL/ELT workflows across multiple data sources Develop and manage data models in Snowflake
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