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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- Solid 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 modern 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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📌 Senior Data Engineer (New South Wales)
🏢 Luxoft
📍 New South Wales