Head of Digital

Petworth
9 months ago
Applications closed

Related Jobs

View all jobs

Head of DevOps and DataOps

Data Engineer

Data Governance

Head of Data, CDO, Data Governance, Professional Services, City London

Data Engineer

Data Engineer

A senior leadership role overseeing digital strategy, enterprise systems, CRM, and infrastructure. This is your chance to drive tech innovation and deliver business-wide transformation.

Client Details

Our client is a purpose-driven, member-based organisation undergoing significant digital and cultural change. With a strong commitment to innovation and service excellence, they're investing heavily in technology to enable smarter operations, deeper engagement, and a more connected future.

Description

Develop and deliver a future-facing digital strategy
Lead internal IT, CRM, website, enterprise systems, and data security
Oversee budgets, tech investments, and supplier partnerships
Deliver digital projects that drive operational efficiency
Ensure robust, secure, and scalable digital infrastructure
Lead and inspire a cross-functional digital team
Collaborate with stakeholders and third parties to deliver innovation
Take full ownership of the CRM platform (MS Dynamics) and website roadmap
Ensure digital platforms meet accessibility, user experience, and SEO standards
Embed a culture that embraces technology and changeProfile

5+ years in senior digital, IT, or tech leadership roles
Strong grasp of CRM (ideally Dynamics), IT systems, and digital platforms
Proven experience managing third-party suppliers and contracts
Commercially savvy with budget and investment oversight
Strategic thinker who delivers through collaboration
Skilled in stakeholder management and cross-functional leadership
Strong data governance and cybersecurity awareness
Agile, adaptable, and excited by transformation
Experience in charity, membership, or not-for-profit sectors (a bonus)Job Offer

£75,874 salary, 36.25-hour work week
31 days annual leave + bank holidays
Hybrid working - 1-2 days in office
Big leadership scope across digital and IT
Autonomy to shape and deliver major transformation
Work for a values-led organisation with real social impact
One-stage interview process - fast and focused

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.