Data Engineer | Banking

On-siteMidData EngineerJust posted

✦Role summaryAI-generated

Capco seeks a data engineer to design and maintain scalable data pipelines supporting banking and payments solutions in Hong Kong. The role involves building ETL processes, data models, and integrating big-data technologies within a fast-growing consultancy.

Skills required

Python SQL Spark Airflow Kafka Cloud computing Data warehousing Big data ETL Data engineering Data pipelines Data quality Databricks Azure Project management

About this role

ABOUT US

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

Experts in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
Committed to growing our business and hiring the best talent to help us get there
Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking a Senior Consultant to support and drive the growth of our Data practice, particularly in our Data engineering stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

This project is with a leading global bank as a Data Engineer leading and managing end-to-end data migration activities.

KEY RESPONSIBILITIES

Lead and manage end-to-end data migration activities, ensuring successful delivery within agreed timelines and quality standards.
Serve as the primary point of contact for client stakeholders, providing regular project updates, managing expectations, and driving resolution of migration-related issues.
Collaborate with business and technical stakeholders to define migration scope, requirements, dependencies, and success criteria.
Develop and oversee data extraction, transformation, migration, and validation processes to ensure data integrity and accuracy.
Design, build, and optimize data pipelines to support migration and ongoing data integration requirements.
Define and manage migration plans, including sequencing of activities, testing, cutover execution, and post-migration support.
Identify project risks, data quality concerns, and delivery issues, and proactively implement mitigation and resolution strategies.

SKILLS & EXPERTISE

5 years of experience in data engineering and data migration within Financial Services.
Proven experience delivering large-scale data migration projects, including planning, execution, validation, and cutover activities.
Strong hands-on experience with Python scripting for data extraction, transformation, automation, and migration-related processes.
Solid understanding of data quality management, reconciliation, and migration testing methodologies.
Experience designing and building data pipelines using modern data engineering technologies; exposure to Databricks and Azure data platforms is highly preferred.
Strong project management skills with experience managing timelines, dependencies, risks, issues, and deliverables.
Excellent problem-solving and troubleshooting abilities, particularly in complex data migration and integration environments.
Immediately available are preferred