We are seeking a data engineer to join our team on an initial contract to support the delivery of data pipelines, integrations, and data quality processes across the enterprise. You'll work within a hybrid SQL + Azure environment, following established patterns and specifications created by senior engineers.
What You'll Be Doing
* Building and maintaining ETL/ELT pipelines using Azure Data Factory, SQL, and existing SSIS patterns
* Supporting integrations between enterprise systems using ADF and StreamSets
* Working from defined engineering templates, patterns, and solution designs to ensure consistency across the data platform
* Assisting with data ingestion, transformation, and movement across data warehouse layers (source → staging → mart)
* Performing data cleaning, validation, and SCD‐related transformations to maintain data quality and integrity
* Supporting data migration and conversion activities
* Monitoring scheduled jobs (SQL Agent, ADF triggers) and assisting with operational troubleshooting
* Participating in testing, defect resolution, and documentation
* Contributing to DevOps workflows (branching, pull requests, deployment pipelines) within Azure DevOps
* Working with analysts and business stakeholders to understand data requirements and deliver accurate outcomes
Skills & Experience
* 1–3 years' experience in Data Engineering, ETL development, or similar
* Strong SQL skills (T‐SQL, stored procedures, performance basics)
* Hands‐on experience with Azure Data Factory or SSIS
* Understanding of ETL/ELT concepts, SCD patterns, and data quality practices
* Exposure to Azure SQL, Data Lake, or similar cloud data services
* Familiarity with CI/CD or DevOps workflows is beneficial
* Ability to follow structured delivery frameworks and established patterns
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