Data Engineer - Active SC & NPPV required

Henderson Scott Careers; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading data consultancy is looking for a Data Analyst / Data Engineer to join their transformation team on a remote basis with occasional travel to London. The ideal candidate will have strong analytical and interpersonal skills, capable of working with complex datasets to provide insights that inform strategic decisions. A background in developing analytical models and visualisations is essential, along with the ability to communicate findings effectively across different stakeholder levels.

Qualifications

• Experience in extracting, cleansing, and analysing complex datasets.
• Ability to develop analytical models and visualisations.
• Experience communicating insights to technical and non-technical stakeholders.

Responsibilities

• Extract and analyse complex datasets to identify trends.
• Develop and maintain analytical models for workstreams.
• Provide recommendations to inform design decisions.

Skills

Analytical skills

Interpersonal skills

Data cleansing

Communication skills

Job description

Remote role with infrequent travel to London - Outside IR35

ACTIVE CTC (or SC) & NPPV 2 or above Clearance required - Please only apply if you hold these clearances.

We are seeking a highly capable Data Analyst / Data Engineer to join a multidisciplinary transformation team delivering a major public sector redesign programme. The role requires an individual with strong analytical and interpersonal skills who can work proactively with large operational data sets to generate insight, models, and evidence that inform key workstreams across operating model design, logistics, organisational change, and business case development.

This role suits a confident self-starter who can thrive in a complex and fast-moving environment, balancing analytical depth with strong communication and collaboration across technical and non-technical stakeholders.

Key Responsibilities

• Extract, cleanse, and analyse complex datasets from multiple systems and sources to identify trends, drivers, and opportunities for improvement.
• Develop and maintain analytical models and visualisations to support operating model, logistics, and financial workstreams.
• Provide insight and recommendations that directly inform design decisions, cost models, and business case assumptions.
• Support the development of key performance indicators and metrics for future operating and transitional models.
• Present findings clearly and pers...