Platform Architect / Engineer

Expleo Group; Worthing; On-site; GBP 80,000 - 100,000; Full time

Job summary

A technology consulting firm in the United Kingdom is seeking a hands-on data platform architect/engineer. The role involves reverse-engineering a legacy solution to migrate it to Microsoft Fabric, stabilizing critical data processes, and collaborating with teams. Essential skills include proficiency in PySpark and familiarity with Microsoft Fabric and Azure. The position offers a collaborative environment, opportunities for skill expansion, and competitive benefits.

Benefits

Collaborative working environment

Access to accredited training courses

Competitive company benefits

Qualifications

• Strong proficiency in PySpark and modern data platforms.
• Familiarity with Azure Data Lake, Synapse, Power BI, and Fabric dataflows.
• Proven experience in platform architecture or data engineering.

Responsibilities

• Analyze and document the existing legacy system.
• Rebuild and optimize data pipelines in Microsoft Fabric.
• Collaborate with data architects and engineers.

Skills

Proficiency in PySpark

Experience with Microsoft Fabric and Azure

Excellent documentation skills

Analytical mindset

Tools

Azure Data Lake

Power BI

Synapse

Job description

Seeking a hands‑on data platform architect / engineer to reverse‑engineer a legacy solution (currently on a VM) and migrate it to Microsoft Fabric. The goal is to stabilize critical data processes and lay the groundwork for a modular, scalable enterprise data platform.

A working Microsoft Fabric‑based replication of the legacy solution, with supporting documentation and recommendations for future improvements.

Responsibilities

• Analyze and document the existing legacy system.
• Rebuild and optimize data pipelines in Microsoft Fabric using PySpark.
• Conduct forensic analysis of data transformations and dependencies.
• Collaborate with data architects, engineers, and analysts.
• Troubleshoot data quality and integration issues.
• Provide recommendations for future modularization and scalability.

Essential Skills

• Strong proficiency in PySpark and modern data platforms (e.g., Microsoft Fabric, Azure).
• Familiarity with Azure Data Lake, Synapse, Power BI, and Fabric dataflows.
• Excellent documentation and communication skills.

Desired Skills

• Proactive, analytical, and delivery‑focused.
• Able to work independently and collaboratively under tight timelines.

Experience

• Proven experience as a platform architect, data engineer, or senior data developer.
• Experience with large‑scale data pipelines and Medallion Architecture (Bronze, Silver, Gold).
• Background in the energy / utilities sector or calculation‑heavy environments is preferred.

Benefits

• Collaborative working environment – we stand shoulder to shoulder with our clients and ourpeers through good times and challenges
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
• ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
• Competitive company benefits
• Always working as one team, our people are not afraid to think big and challenge the status quo
• As a Disability Confident Committed Employer we have committed to :
• Ensure our recruitment process is inclusive and accessible
• Communicating and promoting vacancies
• Offering an interview to disabled people who meet the minimum criteria for the job
• Anticipating and providing reasonable adjustments as required
• Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion / belief, sexual orientation or age”.

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive