Responsibilities
Solid 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 up-to-date 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
Robust 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

📌 Monitoring & Payments Automation Engineer Sydney
🏢 Luxoft Financial Services UK Limited (Australia)
📍 Sydney