Data Engineer Apprentice

Job Title: Data Engineer ApprenticeLocation: Crawley, UKContract: Apprenticeship

Are you passionate about data and looking to launch your career in data engineering? This apprenticeship offers the opportunity to gain hands-on experience with leading cloud technologies while being mentored by experienced professionals in a global technology environment.

The Role

As a Data Engineer Apprentice, you'll play a key role in designing and maintaining data pipelines that make business insights possible. You'll work with a range of Microsoft Azure tools including Data Factory, Databricks, and SQL Server, as well as develop dashboards and KPIs using Power BI. Day-to-day, you'll:

• Support the design, build, and maintenance of data pipelines.
• Assist with data ingestion, transformation, and storage in Azure SQL Database and other cloud solutions.
• Collaborate with senior team members to translate business needs into technical solutions.
• Document workflows, processes, and best practices.
• Troubleshoot issues and suggest improvements.
• Take ownership of your learning journey while contributing to real projects.

What We're Looking For

We're looking for someone with a genuine interest in data engineering and a proactive approach to learning. Requirements (one of the following):

• 720+ hours of technology-related work experience (IT, Software, or Engineering), or
• An A-Level in Computer Science (or equivalent) plus 3+ months in a technical role, or
• Completion of a Level 3 or 4 Data/Computing/Engineering apprenticeship.

Skills & Experience (preferred, but not essential):

• Experience in a technical IT role.
• Basic understanding of databases and SQL.
• Exposure to Python or another programming language.
• Familiarity with Azure Data Factory, Databricks, or other data tools.

Personal qualities:

• Strong written and verbal communication skills.
• A collaborative team player with good interpersonal skills.
• Analytical, detail-oriented, and proactive in problem solving.
• Adaptable and able to manage multiple tasks in a dynamic environment.

Benefits

• 25 days holiday plus bank holidays.
• Stakeholder Pension Scheme (auto-enrolled).
• Private Medical Insurance (optional).
• Permanent Health Insurance.
• Life Assurance (4x basic annual salary).
• Free on-site parking.
• Standard office hours: 08:30-17:00.

This is a fantastic opportunity to kick-start your data engineering career while earning and learning within a supportive and innovative environment.

How to ApplyIf you're eager to develop your skills in data engineering and start a rewarding career, we'd love to hear from you. Apply today!