About the position
We are seeking an Intermediate Data Engineer with experience in ETL, Azure Synapse, SQL, Stored Procedures, Data Factory, and Spark. The ideal candidate will work closely with Analytics teams to deliver high-quality, reusable data solutions aligned with enterprise standards.
Key Responsibilities:
- Create and/or extend data models for Analytics team consumption.
- Develop ETL jobs to move data accurately according to business and technical rules.
- Build reusable data engineering components for cross-functional use.
- Follow the SDLC process, including testing and release management.
- Produce design documents for review by the Design Authority.
- Ensure builds align with Enterprise Architecture standards.
- Participate in knowledge transfer (KT), hypercare, and post-go-live support (PGLS).
- Provide after-hours and weekend deployment support as required.
Requirements:
- 3–5 years of experience in data engineering or related roles.
- Proficiency in ETL, Azure Synapse, SQL, Stored Procedures, Data Factory, and Spark.
- Strong understanding of data modelling and data integration best practices.
- Experience following structured SDLC processes.
- Ability to document designs and solutions clearly.
- Knowledge of the CCBA environment and solutions will be an advantage.
Hit apply today for more information!
Desired Skills:
- ETL
- Azure Synapse
- SQL
- Stored Procedures
- Data Factory
- and Spark
Desired Qualification Level:
About The Employer:
