Data Engineer (DataLake) - All levels

Capco
Bangkok
Workplace: HybridFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Collaboration","Knowledge transfer"]

Design and implement reusable data ingestion and transformation pipelines for a Data Lake/Lakehouse program, partnering with data architects, BI developers, and client technology teams. Build batch, CDC, and streaming ingestion, create Bronze/Silver/Gold layers with cleansing and standardization, and embed data quality, reconciliation, validation, and monitoring. Support data migration, integration testing, UAT, and production releases while following agreed cloud, security, governance, and engineering standards.

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FursaFursa
Capco
Capco
2 days ago

Data Engineer (DataLake) - All levels

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and implement reusable data ingestion and transformation pipelines for a Data Lake/Lakehouse program, partnering with data architects, BI developers, and client technology teams. Build batch, CDC, and streaming ingestion, create Bronze/Silver/Gold layers with cleansing and standardization, and embed data quality, reconciliation, validation, and monitoring. Support data migration, integration testing, UAT, and production releases while following agreed cloud, security, governance, and engineering standards.
Location: Bangkok
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop batch, CDC, and/or streaming data ingestion pipelines from multiple source systems.
  • •Implement Bronze/Silver/Gold data layers, including cleansing, transformation, and standardisation.
  • •Create reusable data pipelines and support data product implementation.
  • •Implement data quality, reconciliation, validation, and monitoring controls.
  • •Support data migration, integration testing, UAT, and production release, and perform BAU handover.

Key Requirements

  • •4+ years of experience in data engineering or related roles.
  • •Strong experience with Databricks, Azure, SQL, Python/PySpark, and ETL/ELT.
  • •Experience with Delta Lake, data modeling, data quality, and CI/CD.
  • •Ability to work end-to-end from source ingestion through governed data products and business reporting.
  • •Experience in financial services (especially asset management) and large-scale data transformation is advantageous.
Experience:4+ yearsFinancial servicesAsset managementFintechRegulated industriesEnterprise data transformation
Skills:CollaborationKnowledge transfer
Tech Stack:DatabricksAzureSQLPythonPySparkETLELTDelta LakeCI/CDData modelingData qualityUAT

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
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