Lead Data Engineer (Banking)

LocationSingapore, Singapore, Singapore

Typefull-time

SeniorityLead

Experience8+ yrs

DepartmentBharat

Company size1,001–5,000 people

First seenOct 5, 2026 · 6d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

Production delivery of data pipelines inside banks

Customer, account, transaction, payments and AML data

Working within bank release, scheduling and change controls

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

12+ years total experience including 6+ in banking (Lead)

8+ years total experience including 4+ in banking (Senior)

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

Framework design, code standards, code reviews and estimation (Lead)

Guiding a team of engineers and working with architects and analysts (Lead)

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

Teradata Vantage certification

Cloudera Data Engineer certification

Databricks Data Engineer Associate or Professional certification

Skills

Teradata SQL

BTEQ

TPT

FastLoad

MultiLoad

Spark

PySpark

Scala

Hive

Impala

HBase

Pig

Hue

Apache Iceberg

Trino

Python

Kafka

Spark Streaming

Informatica

PowerCenter

IDMC

IDL

Talend

REST API

Denodo

Snowflake

NoSQL

Airflow

Control-M

Autosys

Git

CI/CD

GitOps

Kubernetes

Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Azure

Google Cloud

Huawei Cloud

Alibaba Cloud

Qlik Sense

Power BI

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

More roles at Unison Group

Technical Recruiter / Talent Acquisition Specialist (Singapore Market)IT Recruiter Quantexa Data Engineer Resident Solution Architect - Databricks Senior Test Engineer - T24 (Mortgage/Lending)

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Unison Group

Lead Data Engineer (Banking)

LocationSingapore, Singapore, Singapore

Typefull-time

SeniorityLead

Experience8+ yrs

DepartmentBharat

Company size1,001–5,000 people

First seenOct 5, 2026 · 6d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

Production delivery of data pipelines inside banks

Customer, account, transaction, payments and AML data

Working within bank release, scheduling and change controls

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

12+ years total experience including 6+ in banking (Lead)

8+ years total experience including 4+ in banking (Senior)

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

Framework design, code standards, code reviews and estimation (Lead)

Guiding a team of engineers and working with architects and analysts (Lead)

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

Teradata Vantage certification

Cloudera Data Engineer certification

Databricks Data Engineer Associate or Professional certification

Skills

Teradata SQL

BTEQ

TPT

FastLoad

MultiLoad

Spark

PySpark

Scala

Hive

Impala

HBase

Pig

Hue

Apache Iceberg

Trino

Python

Kafka

Spark Streaming

Informatica

PowerCenter

IDMC

IDL

Talend

REST API

Denodo

Snowflake

NoSQL

Airflow

Control-M

Autosys

Git

CI/CD

GitOps

Kubernetes

Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Azure

Google Cloud

Huawei Cloud

Alibaba Cloud

Qlik Sense

Power BI

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

More roles at Unison Group

Technical Recruiter / Talent Acquisition Specialist (Singapore Market)IT Recruiter Quantexa Data Engineer Resident Solution Architect - Databricks Senior Test Engineer - T24 (Mortgage/Lending)

Seekless

Seek less: one search across companies' own career pages, instead of a dozen job boards.

Product

Find jobs Companies Pricing Free Resume Checker

Company

About Blog

Legal

Privacy Terms Cookies