Kuala Lumpur, Malaysia

Data Engineer

Capco is a global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how.  The solutions we offer our customers every day are as diverse as our employees.

Would you like to make a difference and put your ideas into practice with us?

What we are looking for:

Position: Azure Data Engineer (Senior/Principal Consultant)

Location: Kuala Lumpur

Our Data Team

Capco’s Data Team helps our clients transform every aspect of their business.  We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client’s business goals. As digital technologies advance and regulations tighten, today’s consumers – and, therefore, today’s businesses – are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, engineering, AI, machine learning, dashboarding, and reporting.

About the Job:

As a member of our Data Team, you will work across Capco’s different domains and solution offerings to help break down large problems, develop approaches and solutions. As a Data Engineer, you will create analytics reporting and provide data-driven strategic insights, trends, and perspective to help drive transformation for our clients.

What You’ll Get to Do:

  • Work on hard problems with smart people
  • Be highly motivated, result-oriented, and take pride in being a problem solver
  • Learn and share knowledge across our engineering teams, so we can continue to iterate and improve
  • Write reusable, testable, and efficient code as needed
  • Design and implement of low-latency, high-availability, and performant database systems
  • Work on implementation of data pipelines/data warehouses/data marts/ODSs/Lakehouses
  • Collaborate and work on integration of data storage solutions
  • Focus on performance tuning, improvement, balancing, usability and automation

What You’ll Bring with You:

Proven hands-on data engineering experience -- preferably in consulting or financial services

Success working in one of several Data Engineering/Management technology areas, including but not limited to:

  • Implementing enterprise data systems
  • Developing ETL Data Pipelines and Data Model solutions. Integrating new data sets into a data platform from different sources.
  • Designing and building data lakes, data warehouses and data marts
  • Thorough understanding of enterprise level Azure solutions – Databricks, Azure ML, AKS, Azure Data Factory, Logic Apps, Azure Storage Account, Azure SQL DB
  • Experience with Databricks including pipeline implementation and maintenance work such as workspace configuration, cluster and notebook optimization
  • Experience or knowledge with DevOps and MLOps and ML CI/CD
  • Knowledge of BI Solutions (MS Power BI, Tableau, etc.)


  • You will work on engaging projects with some of the largest banks and insurers 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



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