Senior Data Engineer – AWS Data Platform IRC307773

Description Our client is a leading European bank and financial services institution committed to delivering modern, customer-centric digital banking solutions. Guided by strong values of simplicity, accessibility, and financial transparency, the organization serves consumer and commercial banking markets with a diverse range of lending, savings, and payment services. This project is part of a strategic enterprise initiative to modernize and scale the bank’s core data platform on AWS. The initiative focuses on migrating away from legacy data infrastructures into a modern, event-driven lakehouse architecture capable of supporting real-time streaming, advanced analytics, and strict regulatory reporting. You will join an established engineering team to accelerate production execution, establish engineering best practices, and deliver resilient data products in a secure financial environment. Requirements

• Must-Have Advanced proficiency in Python, PySpark, and complex SQL for building high-performance, production-grade data pipelines.
• Extensive hands-on experience designing, deploying, and operating solutions using key AWS services (e.g., S3, Glue, EMR, Lambda, Step Functions or MWAA/Airflow, Redshift, Lake Formation).
• Proven production expertise with Apache Spark for scalable data processing, combined with advanced dbt experience for modular data modeling, testing, and deployment.
• Practical experience implementing event-driven streaming solutions with Apache Kafka or AWS MSK, alongside Change Data Capture (CDC) workflows using AWS DMS, Debezium, or equivalent tools.
• Hands-on experience managing infrastructure via Terraform or AWS CDK, combined with automated CI/CD deployments and comprehensive testing frameworks (unit, integration, and data-quality/reconciliation testing).

Nice-to-Have

• 7+ years of dedicated data engineering experience; prior work in banking, fintech, or strictly regulated environments.
• Working knowledge of GDPR, PII protection, least-privilege IAM, encryption at rest/in transit, and financial auditability standards.
• Familiarity with lakehouse architectures, dimensional modeling, data contracts, and schema evolution.
• Experience setting up CloudWatch monitoring, alerting, automated lineage, and production incident recovery runbooks.
• Practical knowledge of schema registries, event replay, deduplication, and exactly-once/idempotent processing.

Job responsibilities

• Design, implement, deploy, and maintain robust batch, real-time streaming, and CDC pipelines on AWS.
• Build clean, maintainable, and production-ready data pipelines and transformation logic using Python, PySpark, SQL, and dbt.
• Create reusable, resilient ingestion patterns across diverse sources, including relational databases, APIs, flat files, and real-time event streams.
• Implement and operate Kafka/MSK streaming pipelines and CDC workflows using AWS DMS or Debezium.
• Develop optimized, standardized data models supporting both analytical consumption and operational data use cases within a lakehouse pattern.
• Migrate and refactor legacy ETL workloads into scalable, AWS-native serverless or distributed services.
• Implement automated data-quality controls, data reconciliation frameworks, monitoring, alerting, and end-to-end data lineage.
• Actively monitor pipelines, diagnose latency bottlenecks, resolve data anomalies, and maintain operational runbooks.
• Apply security-by-design principles to ensure all data handling adheres to strict financial compliance, encryption, and privacy standards.
• Manage platform infrastructure and continuous deployment pipelines using Terraform, CDK, and CI/CD tools.

What we offer Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives. Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success. DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment. Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm. Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment. Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.