Job Description
Project description
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Engineer responsible for developing ingestion and transformation pipelines to populate the reconciliation staging area and support downstream integration with FIS Matching.
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Responsibilities
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Strong hands‐on experience as a Senior Data Engineer in cloud environments, primarily AWS.
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Solid proficiency with SQL and relational and analytical database platforms.
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Proven experience designing and building ETL / ELT data pipelines
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Experience integrating legacy systems with contemporary SaaS or cloud‐based platforms
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Practical experience with cloud data warehouses or lake‐style platforms (e.g. Snowflake or equivalent)
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Working knowledge of data lake / lakehouse concepts
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Experience with job scheduling and pipeline orchestration tools (e.g. Airflow, Step Functions or similar)
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Experience implementing data security, encryption, privacy controls and governance practices
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Strong software engineering discipline, including GitHub usage (branching, pull requests,



code reviews)
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Skills
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Must have
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5+ years of experience.
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AWS / ETL / Redshift / SnowFlake
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Iceberg tables & data lakehouse concepts
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Catalog/schema management
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Job scheduling / pipeline orchestration tools
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Data encryption, privacy, governance frameworks
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GitHub usage (branches, PRs, code review).
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Knowledge of Kinesis, Aurora, Athena,DMS, DataSync
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Nice to have
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Familiarity with Apache Iceberg or similar modern table formats
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Exposure to data catalogue and schema management tooling
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Awareness of AWS data services such as Kinesis, Aurora, Athena, DMS and DataSync
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Experience working in environments where technology choices are evolving, rather than fixed
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Broader awareness of modern data platform architectures, even where tools are not used day to day
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#J-*****-Ljbffr

📌 Senior Data Engineer (Queensland)
🏢 Luxoft
📍 Queensland