Data Engineer

Data Engineer

Location: West Midlands, UK (remote working available)

Job Type: Permanent

Working Hours: Full-time, 37.5 hours per week

Probation Period: 3 months

Reporting to: Head of IT

Company Overview:

Our client is a specialist Telecoms Management firm that audits and manages telecoms billing across Mobile, Fixed Voice, and Data. To support this, they have developed a proprietary SQL-based database, enabling advanced analysis of telecoms billing from major UK vendors.

As part of their growth and digital transformation strategy, they are migrating their database to Microsoft Azure, enhancing processing speed, scalability, and data visualization capabilities. With an established offshore support team and UK-based consultants, they are now looking to strengthen their in-house IT team with a talented Data Engineer to drive innovation and ensure robust service delivery.

The Opportunity:

This is an exciting opportunity for a skilled Data Engineer to work on high-impact projects that make a tangible difference to clients and internal operations. The role offers exposure to greenfield projects, mentorship from industry experts, and the chance to develop advanced data engineering skills in a fast-growing company using the latest tech.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Implement and optimize data models to support analytics and reporting.
• Write efficient, maintainable code in Python and PySpark.
• Develop ETL processes using SQL and Azure Data Factory.
• Collaborate with analysts and stakeholders to translate business requirements into data solutions.
• Ensure data quality, integrity, and security across platforms.
• Stay ahead of emerging technologies in big data and cloud computing.

Key Skills & Experience:

• Strong SQL and data modeling expertise.
• Proficiency in Python and PySpark for data transformation.
• Experience with ETL tools, particularly Azure Data Factory.
• Familiarity with Microsoft Fabric (advantageous).
• Strong analytical problem-solving skills.
• Ability to work collaboratively in a dynamic team.
• Clear, effective communication skills.
• Degree in Computer Science, IT, or related field, or equivalent experience.

Preferred Experience:

• Cloud platforms such as Azure and Fabric.
• Experience working with big data technologies.
• Exposure to data visualization tools like Power BI or Tableau.

Benefits:

• 28 days holiday + your birthday off + half a day per month to relax.
• Full BUPA health cover.
• Minimum 5% pension contribution (with matched contributions up to 10%).

This is a fantastic opportunity to take ownership of impactful projects and develop your career within a growing tech-driven organization. If you're a Data Engineer looking for a role where you can make a real impact, apply today!