Project description Engineer responsible for developing ingestion and transformation pipelines to populate the reconciliation staging area and support downstream integration with FIS Matching.

Responsibilities - Robust 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 Must have - 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 Nice to have - Familiarity with Apache Iceberg or similar modern table formats - Exposure to data catalogue and schema management tooling - Awareness of AWS data services such as Kinesis, Aurora, Athena, DMS and DataSync - Experience working in environments where technology choices are evolving, rather than fixed - Broader awareness of modern data platform architectures, even where tools are not used day to day

📌 Senior Data Engineer (Brisbane City)
🏢 Luxoft
📍 Brisbane City