Junior Data Engineer

Jackson Hogg Ltd; New Penshaw; On-site; GBP 26,000 - 38,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Jackson Hogg Ltd is recruiting a Junior Data Engineer to join a growing team working with a cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional to build a career in data engineering using Azure technologies.

You will develop and maintain data pipelines, contribute to data quality, and learn modern data platform practices with mentoring and clear progression paths. Hybrid working is available with remote options for the right candidate.

Qualifications

• Degree or equivalent experience in a relevant field.
• Strong SQL and Python skills.
• Familiarity with cloud data platforms is advantageous.
• Understanding of ETL/ELT concepts.
• Analytical and communication skills with problem-solving ability.
• Exposure to Azure, Databricks or Data Factory is a plus.

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

SQL

Python

Data modelling

ETL/ELT

Analytical

Communication

Education

Degree in Computer Science or related field

Tools

Azure

Databricks

Data Factory

Microsoft Fabric

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.