Open role
Junior Data Engineer
- Aggregated by CV-Library
- Sunderland, Tyne & Wear
- Permanent
- Full Time
- £30,000 - £35,000 Per Annum
Job Description
We're recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in its cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional looking to build a career in data engineering, working with modern Azure technologies and large-scale business data.
You'll work alongside experienced data and BI professionals to develop and maintain data pipelines, integrate data from a variety of systems, and help deliver trusted, high-quality data for reporting and business decision-making. The role offers exposure to modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression.
Key Responsibilities
* Build and support ETL/ELT data pipelines using modern cloud technologies.
* Assist with integrating and transforming data from multiple business systems.
* Help maintain a scalable, secure, and reliable data platform.
* Develop data quality checks, monitoring, and automated testing processes.
* Work closely with BI and business teams to ensure data is accurate and accessible.
* Document data processes, transformations, and technical solutions.
* Contribute to the ongoing development of data architecture and best practices.
Skills & Experience
* Degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related subject, or equivalent commercial experience.
* Good SQL skills and experience with Python or another programming language.
* Understanding of databases, data modelling, and ETL/ELT concepts.
* Interest in cloud data technologies and modern data platforms.
* Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous.
* Strong analytical, problem-solving, and communication skills.
What's on Offer
* Opportunity for graduates and junior-level candidates.
* Structured learning and mentoring from experienced data professionals.
* Hands-on experience with modern Azure data technologies.
* Clear progression pathways within data engineering and cloud data platforms.
* Hybrid working model, with remote working also considered for the right candidate.
* Competitive salary and excellent long-term development opportunities
You'll work alongside experienced data and BI professionals to develop and maintain data pipelines, integrate data from a variety of systems, and help deliver trusted, high-quality data for reporting and business decision-making. The role offers exposure to modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression.
Key Responsibilities
* Build and support ETL/ELT data pipelines using modern cloud technologies.
* Assist with integrating and transforming data from multiple business systems.
* Help maintain a scalable, secure, and reliable data platform.
* Develop data quality checks, monitoring, and automated testing processes.
* Work closely with BI and business teams to ensure data is accurate and accessible.
* Document data processes, transformations, and technical solutions.
* Contribute to the ongoing development of data architecture and best practices.
Skills & Experience
* Degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related subject, or equivalent commercial experience.
* Good SQL skills and experience with Python or another programming language.
* Understanding of databases, data modelling, and ETL/ELT concepts.
* Interest in cloud data technologies and modern data platforms.
* Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous.
* Strong analytical, problem-solving, and communication skills.
What's on Offer
* Opportunity for graduates and junior-level candidates.
* Structured learning and mentoring from experienced data professionals.
* Hands-on experience with modern Azure data technologies.
* Clear progression pathways within data engineering and cloud data platforms.
* Hybrid working model, with remote working also considered for the right candidate.
* Competitive salary and excellent long-term development opportunities