Monitoring & Payments Automation Engineer

Luxoft Financial Services UK Limited (Australia); Sydney; On-site; AUD 140,000 - 180,000; Full time

Job summary

Luxoft Financial Services UK Limited (Australia) – Sydney NSW is seeking a Monitoring & Payments Automation Engineer with senior data engineering experience in AWS. You will own data pipelines, ensure reliability, and collaborate with cross-functional teams to deliver scalable payment data solutions.

The role emphasizes ETL/ELT design, data lakehouse concepts, and security governance, using tools like Airflow and AWS services.

Qualifications

• 5+ years of experience.
• AWS / ETL / Redshift / SnowFlake
• Iceberg tables & data lakehouse concepts
• Catalog/schema management
• Job scheduling / pipeline orchestration tools
• Data encryption, privacy, governance frameworks
• GitHub usage (branches, PRs, code review).
• Knowledge of Kinesis, Aurora, Athena,DMS, DataSync

Responsibilities

• Strong hands-on experience as a Senior Data Engineer in cloud environments, primarily AWS.
• Solid proficiency with SQL and relational and analytical database platforms.
• Proven experience designing and building ETL / ELT data pipelines
• Experience integrating legacy systems with modern SaaS or cloud‑based platforms
• Practical experience with cloud data warehouses or lake‑style platforms (e.g. Snowflake or equivalent)
• Working knowledge of data lake / lakehouse concepts
• Experience with job scheduling and pipeline orchestration tools (e.g. Airflow, Step Functions or similar)
• Experience implementing data security, encryption, privacy controls and governance practices
• Strong software engineering discipline, including GitHub usage (branching, pull requests, code reviews)

Skills

AWS

ETL/ELT

Snowflake

Data lakehouse concepts

Data encryption

GitHub PRs

Kinesis

Aurora

Athena

DMS/DataSync

Tools

Airflow

Step Functions

Kinesis

DMS

DataSync

Aurora

Athena

Redshift

Job description

Monitoring & Payments Automation Engineer

Luxoft Financial Services UK Limited (Australia) – Sydney NSW

Job Type: Permanent position | Full time position

Job Description

Responsibilities

• Strong hands‑on experience as a Senior Data Engineer in cloud environments, primarily AWS.
• Solid proficiency with SQL and relational and analytical database platforms.
• Proven experience designing and building ETL / ELT data pipelines
• Experience integrating legacy systems with modern SaaS or cloud‑based platforms
• Practical experience with cloud data warehouses or lake‑style platforms (e.g. Snowflake or equivalent)
• Working knowledge of data lake / lakehouse concepts
• Experience with job scheduling and pipeline orchestration tools (e.g. Airflow, Step Functions or similar)
• Experience implementing data security, encryption, privacy controls and governance practices
• Strong software engineering discipline, including GitHub usage (branching, pull requests, code reviews)

Mandatory Skills Description

• 5+ years of experience.
• AWS / ETL / Redshift / SnowFlake
• Iceberg tables & data lakehouse concepts
• Catalog/schema management
• Job scheduling / pipeline orchestration tools
• Data encryption, privacy, governance frameworks
• GitHub usage (branches, PRs, code review).
• Knowledge of Kinesis, Aurora, Athena,DMS, DataSync