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Lead Data Engineer (Banking)

Unison Group • Financial Services • IT Consulting & Digital Transformation • Bachelor's Degree • Python • SQL • Scala • Power BI • QlikSense • ETL/ELT • Informatica • Talend • 29 days ago
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Salary
≈ $55k – $124k per year (Estimated)
Location
In office (Singapore)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 25, 2026. Unison Group scores B on the Alion truth index.

Overview
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Unison Group

Unison Group is a global technology consulting firm that accelerates digital transformation for enterprises through advanced cloud, data analytics, and artificial intelligence solutions. Headquartered in Singapore, the company specializes in risk management, regulatory compliance, and modernization strategies primarily for the financial and banking sector. By combining deep domain expertise with agile implementation frameworks, it empowers organizations worldwide to build secure, scalable, and future-ready digital architectures.
unisongroup.com • HQ: Singapore • Information Technology • IT Consulting & Digital Transformation • 1001-5000 employees
Tech stack of Unison Group

Role: Lead Data Engineer (Banking)

Must-have skills

Banking and domain

  • Production delivery of data pipelines inside banks.
  • Customer, account, transaction, payments and AML data.
  • Working within bank release, scheduling and change controls.

Core data engineering

  • Teradata SQL, BTEQ, TPT and FastLoad/MultiLoad; query tuning.
  • Spark (PySpark/Scala), Hive, Impala, HBase, Pig and Hue; Apache Iceberg and Trino; Python and R.
  • Historical data processing: snapshots, SCD Type 2 and multi-grain backfills with control totals and validation reports.
  • ETL/ELT development, CDC, metadata-driven automation frameworks and parameter-driven SQL generation.
  • Reconciliation, data quality and SLA monitoring.
  • Performance at scale: tables of 1 billion+ rows and multi-year history.

Requirements

Experience:

  • Lead: 12+ years, including 6+ in banking.
  • Senior: 8+ years, including 4+ in banking ·

Banking and domain

  • Production delivery of data pipelines inside banks.
  • Customer, account, transaction, payments and AML data.
  • Working within bank release, scheduling and change controls.

Core data engineering

  • Teradata SQL, BTEQ, TPT and FastLoad/MultiLoad; query tuning.
  • Spark (PySpark/Scala), Hive, Impala, HBase, Pig and Hue; Apache Iceberg and Trino; Python and R.
  • Historical data processing: snapshots, SCD Type 2 and multi-grain backfills with control totals and validation reports.
  • ETL/ELT development, CDC, metadata-driven automation frameworks and parameter-driven SQL generation.
  • Reconciliation, data quality and SLA monitoring.
  • Performance at scale: tables of 1 billion+ rows and multi-year history.

Integration and platforms

  • Kafka, Spark Streaming, Informatica (PowerCenter, IDMC, IDL) and Talend; REST API development.
  • Denodo, Snowflake and NoSQL databases.
  • Airflow, Control-M or Autosys; Git, CI/CD, GitOps and Kubernetes.

Delivery and communication (Lead)

  • Framework design, code standards, code reviews and estimation.
  • Guiding a team of engineers and working with architects and analysts.

Good-to-have skills

  • Databricks: Delta Lake, Unity Catalog and Workflows.
  • Data services on Azure, Google Cloud, Huawei Cloud or Alibaba Cloud.
  • Data modelling for Qlik Sense or Power BI.

Certifications (preferred): Teradata Vantage; Cloudera Data Engineer; Databricks Data Engineer Associate or Professional

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