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Jackson Hogg Ltd

Junior Data Engineer

Posted Updated
Discussion

Salary: £30,000 - 35,000 per year

Requirements:
  • 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.
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.
Technologies:
  • Azure
  • Cloud
  • Databricks
  • ETL
  • Fabric
  • Support
  • Python
  • SQL

More:

We are recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in our cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional to build a career in data engineering, working with modern Azure technologies and large-scale business data. We offer structured learning and mentoring from experienced data professionals, hands-on exposure to modern Azure data technologies, clear progression pathways within data engineering and cloud data platforms, a hybrid working model with remote working considered for the right candidate, and competitive salary with excellent long-term development opportunities.

last updated 35 week of 2026

What they ask for

Required

  • 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.

Skills

See also

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