Data Engineer

Harnham - Data & Analytics Recruitment; London; Hybrid; GBP 60,000 - 62,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to transform operational data into actionable insights. This pivotal role involves developing and maintaining scalable cloud-based data infrastructure, ensuring data accuracy and compliance, and collaborating with various stakeholders. If you thrive in a dynamic environment and possess a strong background in cloud tools and data processing, this opportunity is perfect for you. Join a forward-thinking company that values innovation and offers great benefits, including free rail travel and excellent training support.

Benefits

Free and discounted rail travel

Excellent pension

Training support

Retail discounts

Qualifications

• Solid experience with AWS and/or Azure platforms.
• Proficient in SQL and Python with strong data modelling skills.

Responsibilities

• Build and manage cloud data infrastructure using AWS/Azure.
• Design data models and maintain data warehouses.

Skills

AWS

Azure

SQL

Python

Data Modelling

Data Warehousing

Communication Skills

Attention to Detail

Job description

Job Description

Data EngineerLocation: Central London (2 days a week in office)Salary: £60,000 - £62,000

We're working with our client, a leading UK rail operator, to recruit a Data Engineer. This role is key in transforming operational data into accessible insights, supporting open data initiatives and better decision-making across the business.

Role Overview:You'll develop and maintain scalable cloud-based data infrastructure and pipelines, ensuring clean, secure, and well-modelled datasets are available across teams. The role suits someone confident with cloud tools, large data sets, and real-time processing.

Key Responsibilities:

• Build and manage cloud data infrastructure (AWS/Azure)
• Design data models and ETL pipelines
• Maintain data warehouses, lakes, and reporting-ready datasets
• Ensure data accuracy, security, and GDPR compliance
• Collaborate with internal and external stakeholders
• Optimise performance of pipelines and queries

Requirements:

Essential:

• Solid experience with AWS and/or Azure platforms
• Proficient in SQL and Python
• Strong understanding of data modelling and warehousing
• Strong communication skills and stakeholder experience
• High attention to detail and proactive mindset

Desirable:

• Experience with ML/AI integration
• Familiarity with rail systems (e.g. MOIRA, ORCATS, Lennon, Cubic)
• Understanding of data governance and optimisation techniques

Benefits Include:

• Free and discounted rail travel (incl. dependents)
• Excellent pension, training support, and retail discounts
• 37 hours/week, Mon-Fri (hybrid)

To apply or find out more, contact: