Associate, Engineering

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 for analytics and reporting

• Orchestrate workflows using Airflow and ensure pipeline reliability and observability

• Implement data quality, validation, and lineage frameworks for robust data governance 

• Develop APIs and microservices to expose data and platform capabilities

• Optimise systems for performance, scalability, and cost efficiency

• Collaborate with cross-functional teams to translate business problems into technical solutions

• Ensure data security, compliance, and best engineering practices across the stack

Preferred Qualifications: 

• Knowledge of AWS/Azure services


• Knowledge of AI/LLM/RAG stack

This role offers the opportunity to work in a fast-paced, engineering focused startup environment and contribute to meaningful projects that solve complex business problems. Join us and be part of a team that values innovation, collaboration, and excellence. 

Future Standard is a global alternative asset manager serving institutional and private wealth clients, investing across private equity, credit, real estate and infrastructure. With a 30+ year track record of value creation and $93 billion in assets under management, we back the business owners and financial sponsors that drive growth and innovation across the middle market, transforming untapped potential into durable value.

Future Standard is an Equal Opportunity Employer. 

Future Standard does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement is property of Future Standard and no fee will be paid.