Senior Data Engineer

Role Overview

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms and pipelines that enable reliable analytics, reporting, machine learning, and operational decision-making. This role combines strong software engineering skills deep expertise in data architecture, cloud infrastructure, and data governance.

What You Will Do

Design, develop, and maintain ETL and ELT pipelines, write efficient Python code, build and manage data ingestion integrations, and perform data cleansing, transformation, and validation.

Why It Might Be a Fit

This role requires strong problem-solving skills, attention to detail, and ability to work independently and collaboratively as part of a wider Airband team. The ideal candidate will have a strong interest in AI and emerging data technologies and be able to learn new systems and technologies quickly.

Requirements

• Strong SQL skills, including performance-focused query design
• Knowledge of operating systems and Azure infrastructure
• Proven experience of Python
• Hands-on experience with Databricks on Azure, including platform usage and administration
• Experience working in fast-paced environment
• Circa 5+ years of experience in data engineering, software engineering, or related technical roles

Benefits

• 25 days of paid leave a year rising to 30 plus bank holidays with service
• 5% Airband pension plus a minimum 3% employee contribution
• Customer referral bonus
• Hybrid working
• Free Broadband
• 20% off monthly line rental on EE’s phone, tablet, SIM only or mobile broadband plans
• Cycle to work, Tech scheme, Healthcare and medical insurance
• Dental care, and Health cash fund
• Airshare (employee discount platform)
• Refer a friend reward scheme