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Capco

Senior Data Engineer (Banking)

Capco is hiring a Senior Data Engineer (Banking) in Bangkok, Thailand. Level rates it ; you can apply on Capco.

Level's read on this job

  • On Level's scale, this data engineer role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include Databricks.
  • Level classifies it as a senior role.
  • Level lists 702 other open roles at Capco.

AI in this role

databricks

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

Role Summary

We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, AI/ML, and business intelligence use cases for BankX's digital banking platform.

What You’ll Do

  • Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
  • Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows.
  • Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture.
  • Ensure data quality, reliability, and availability across all data products.
  • Collaborate with Data Architects to implement data models and architecture standards.
  • Support data governance, metadata management, and lineage tracking.
  • Ensure pipelines comply with PDPA, data classification, and security requirements.
  • Monitor pipeline performance and troubleshoot data issues in production environments.
  • Work closely with Data Scientists and Analysts to deliver model-ready datasets.
  • Participate in code reviews and promote engineering best practices.

What We’re Looking For

  • 5+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and Python for data transformation and processing.
  • Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
  • Experience building and maintaining ETL/ELT pipelines at scale.
  • Familiarity with data modeling concepts and distributed data systems.
  • Understanding of data governance, data quality, and security practices.
  • Proficient in Thai and English at intermediate level or above, sufficient for technical discussions,
    meetings, and written documentation

Preferred:

  • Experience in banking, fintech, or other regulated industries.
  • Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs.
  • Familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
  • Exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
  • Experience working in Agile/Scrum environments.

Why Join CAPCO

  • Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy

We offer

  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • An agile, diverse, entrepreneurial, inclusive, meritocratic culture

 

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.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

 

#LI-PW1 #LI-Hybrid

How we rate this

Senior Data Engineer (Banking) at Capco rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Databricks

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$149k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  3. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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