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Unison Group

Lead Data Engineer (Banking)

Singapore
Level
Lead

Not stated in the posting: salary, work type, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Airflow · Apache Iceberg · Delta Lake · Kafka · NoSQL · Power BI · Qlik · Scala

Rare in Unison Group's other 132 open postings.

Standard for data engineering roles

Azure · CI/CD · ETL · GCP · Python · Snowflake · Spark

Common in data engineering postings at any company.

In most of Unison Group's ads

SQL

Named in most of its open postings, whatever the role.

Read against Unison Group's other open postings on this site.

The team: Bharat HIRES STEADILY

This role is one of 20 open in Bharat. 18 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

SQL (19 of 20), Azure (13 of 20), Python (12 of 20), CI/CD (11 of 20), ETL (9 of 20), Spark (9 of 20), Git (8 of 20)

OTHER ROLES ON THIS TEAM

From the team and dates on Unison Group's own job board.

About the role

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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