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Senior Data Engineer
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Senior Data Engineer - Azure
Hybrid: 2 days onsite
My food retail business client is looking for a senior Data Engineer to join the team. My client operate on a global scale, but their Data and Analytics function embodies the dynamic environment of a start-up, complete with innovative projects and a focus on creating compelling customer experiences. This role offers a blend of engaging challenges, extensive resources, and significant career progression opportunities as part of our technology transformation journey.
Hybrid (2 days onsite)
Design and deliver data pipelines.
Build and manage Azure Data Factory data flows.
Ingest data into an Azure Data Lake.
Design data models for large datasets, including creating dimensional multivariate models.
Utilize non-relational data storage solutions such as MongoDB.
Work with SQL Server Integration Services (SSIS) and other ETL tools.
Develop solutions with SSIS, SSRS, T-SQL (On-prem/Cloud).
Manage NoSQL environments, Data Lakes, and Lake-Houses (e.g., Use Python for data engineering tasks.
Apply statistical principles to interpret data and develop models.
Handle high performing, low latency, or large volume data systems.
Operate within a continuous integration environment with automated builds, deployment, and unit testing.
