Senior Data Engineer

Malaysia

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

ABOUT CAPCO

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.  You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

ROLE DESCRIPTION

As a Senior Data Engineer, you will be:

• Providing technical leadership, guidance and act as the de facto point of reference for data engineering and any analytical solutions especially Data Products.
• Developing Data Engineering solutions in line with the latest technologies and best practices.
• Drive knowledge journeys and facilitate communication on Data Engineering, DataOps & MLOps across units.  

KEY RESPONSIBILITIES

• Designing and evolving the overall data architecture, ensuring scalability, flexibility, and alignment with business goals.
• Assessing and integrating third-party solutions into the data architecture.
• Optimizing end-to-end data pipelines for maximum efficiency and performance.
• Implementing advanced caching, parallel processing, and optimization techniques.
• Establishing and enforcing security protocols to protect sensitive data.
• Ensuring compliance with data privacy regulations and industry standards.

SKILLS AND EXPERIENCE

• Bachelor's degree/Masters/PhD in a quantitative field such as Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.
• Operational Knowledge of Data Engineering Architectures & Implementation, well verse with the concept of Medallion Architecture
• Minimum 5 -7 years of experience and domain knowledge in banking & insurance.
• Minimum 3 – 4 years of experience in Apache Hive, HBase, Solr & Kafka
• Minimum 1 -2 years of implementing Apache Iceberg and migrating from Apache Hive to Iceberg.
• Operational experience in Data Mesh and Data Product conceptualization & development
• Good knowledge of advanced analytics technique applied for model development on use cases.
• Python programming experience with good knowledge advanced analytics model development
• Good working knowledge in using the visualization tools to present findings. Tableau > Python > SAS.
• Able to write and execute complex queries in SQL

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer:

A work culture focused on innovation and building lasting value for our clients and employees

Ongoing learning opportunities to help you acquire new skills or deepen existing expertise

A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients

A diverse, inclusive, meritocratic culture

Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement

NEXT STEPS

If you’re looking forward to progressing your career with us, please do not hesitate to apply. We are looking forward to receiving your application.

To learn more about Capco and its people check out the website on www.capco.com