Were seeking a hands-on Data Specialist to join our growing data group, working on the practical backbone of high-scale, financial-grade systems. Youll work closely with engineers, BI, product, and business stakeholders, expert in design, build, and optimize data pipelines and integrations in a cloud-native environment.
If you thrive on solving complex data challenges, enjoy getting deep into code, and want to make an impact on fintech infrastructure, wed love to meet you.
Your Day-to-Day
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems
Build and refine data models to support analytics and operational needs
Work hands-on with data orchestration, transformation, and cloud infrastructure (AWS/Azure)
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Contribute to data governance, data quality, and monitoring initiatives
Support implementation of best practices in data management and observability.
If you thrive on solving complex data challenges, enjoy getting deep into code, and want to make an impact on fintech infrastructure, wed love to meet you.
Your Day-to-Day
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems
Build and refine data models to support analytics and operational needs
Work hands-on with data orchestration, transformation, and cloud infrastructure (AWS/Azure)
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Contribute to data governance, data quality, and monitoring initiatives
Support implementation of best practices in data management and observability.
Requirements:
8+ years in data engineering, data architecture, or similar roles
Deep hands-on experience with PostgreSQL, Snowflake, Oracle etc
Strong experience with ETL/ELT, data integration (Kafka, Airflow)
Proven SQL and Python skills (must)
Experience with AWS or Azure cloud environments
Familiarity with BI tools (Looker, Power BI)
Knowledge of Kubernetes and distributed data systems
Experience in financial systems or fintech (advantage)
Strong ownership, problem-solving ability, and communication skills
Comfort working in a fast-paced, multi-system environment.
8+ years in data engineering, data architecture, or similar roles
Deep hands-on experience with PostgreSQL, Snowflake, Oracle etc
Strong experience with ETL/ELT, data integration (Kafka, Airflow)
Proven SQL and Python skills (must)
Experience with AWS or Azure cloud environments
Familiarity with BI tools (Looker, Power BI)
Knowledge of Kubernetes and distributed data systems
Experience in financial systems or fintech (advantage)
Strong ownership, problem-solving ability, and communication skills
Comfort working in a fast-paced, multi-system environment.
This position is open to all candidates.
