Job Description
We are seeking an experienced EL1 Data Acquisition Engineer / Senior Data Engineer to join a major enterprise data warehouse program.
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This is a senior, hands-on position combining data engineering, technical leadership, data modelling, SQL/ETL development and delivery governance. You will provide technical guidance to developers, review data designs and models, and help mature data engineering and release practices.
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Key Responsibilities
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Provide technical leadership to data delivery teams through design reviews, technical workshops and implementation guidance.
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Design and implement the acquisition and integration of new data sources into the enterprise data platform.
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Review and improve data delivery frameworks to increase performance, scalability and speed of delivery.
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Own technical implementation of new data from analysis through to production delivery.
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Develop and maintain complex SQL, analytical and ETL code.
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Design and maintain data dictionaries, data models and technical documentation.
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Review and approve data designs, models and development approaches.
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Define and improve release processes, coding standards and development best practices.
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Conduct peer reviews and knowledge-transfer sessions for developers.
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Analyse, understand and estimate complex user requirements.
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Manage and prioritise technical work items.
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Work closely with data consumers, database developers, testers and IT support teams.
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Drive continuous improvement across development, documentation, data modelling and delivery practices.
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5+ year experience in Snowflake and AWS
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Strong experience with at least 2 of the following data warehouse/platform technologies- MS SQL Server, Teradata ,Amazon Redshift, Databricks
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Advanced SQL development skills, including the ability to analyse and reverse-engineer complex SQL.
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Robust programming capability with languages such as Python, SAS, R or Java.
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Strong understanding of ETL/data integration development.
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Ability to read, interpret and review data models and technical specifications.
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Experience reviewing/auditing data engineering code.
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Good understanding of DevOps processes and tools.
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Strong knowledge of version control and appropriate development practices.
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Ability to provide technical guidance, peer reviews and mentoring to other developers.
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Highly Desirable
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Experience with AWS cloud data technologies, including AWS S3 and AWS Glue or similar.
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Experience with SAS and Excel.
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Experience with metadata/model-driven data modelling frameworks.
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Previous experience working with large-scale enterprise data warehouse environments.
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📌 Lead Data Engineer (New South Wales)
🏢 SKL Technology
📍 New South Wales