Data Engineer III-PythonPySparkSQL

Team:Cash Management
Location:Insert Location
Level:602

About the Team

Our Cash Management team ensures the bank has the right money in the right place at the right time. We leverage advanced algorithms to predict cash flows and proactively move funds optimizing liquidity and supporting critical business operations.

Role Overview

We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing building and maintaining robust data pipelines that power our predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions.

Key Responsibilities

• End-to-End Data Pipeline Development:
  • Design implement and maintain scalable data pipelines for collecting transforming and delivering data across systems.
  • Ensure data quality reliability and timeliness throughout the pipeline.
• Data Integration & Movement:
  • Develop solutions for moving data between internal and external systems securely and efficiently.
  • Work with structured and unstructured data sources.
• Analytical Insights:
  • Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
  • Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
• Algorithm Support:
  • Provide clean well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
• Collaboration & Communication:
  • Work closely with product engineering and business teams to understand requirements and deliver solutions.
  • Document processes and share knowledge with team members.

Required Qualifications

• Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g. Python SQL Spark Airflow etc.).
• Strong analytical skills with the ability to interpret complex data and deliver business value.
• Experience integrating data from multiple sources and systems.
• Familiarity with cloud data platforms (e.g. AWS Azure GCP) and big data technologies.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.

Preferred Qualifications

• Awareness or experience with financial concepts especially in banking or cash management.
• Experience supporting predictive analytics or machine learning workflows.
• Knowledge of data governance security and compliance in financial services.

Why Join Us

• Be part of a high-impact team driving the banks liquidity and cash management strategy.
• Work on challenging problems with direct business outcomes.

Collaborate with talented professionals in a supportive and innovative environment.