Engineer responsible for developing ingestion and transformation pipelines to populate the reconciliation staging area and support downstream integration with FIS Matching.
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
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 contemporary data platform architectures, even where tools are not used day to day
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📌 Senior Data Engineer (Brisbane City)
🏢 Luxoft
📍 Brisbane City
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