Information and Records Management Advisor

Croydon
8 months ago
Applications closed

Related Jobs

View all jobs

Head of DevOps and DataOps

Data Engineer

Data Engineer

Data Engineer

Data Engineer - SC Cleared. Stevenage/Hybrid £80k

Data Engineer

Information and Records Management Advisor - 12 months fixed-term contract

Hybrid - Croydon Head Office (from 2 days per week) and Remote

£34,000 - £35,500 per annum + benefits including Civil Service pension

Contract Type: 12 months fixed-term contract - unfortunately we are unable to consider applicants who require sponsorship now or in the future; if you are on any type of working visa you must be eligible to work for the entire 12-month period

Position type: Full Time

The vacancy

We’re the Pension Protection Fund. We protect millions of people in the UK who belong to defined benefit pension schemes. When these schemes fail, we’re ready to help. We do this by paying our members, by charging a levy and by investing sustainably. Our work has a real impact on people’s lives, so we strive to do it well, with integrity and their future in mind.

We’re looking for an Information and Records Management Advisor to join our team.

This role directly supports the Information and Data Governance Manager in maintaining and improving the PPF’s Information and Records Management (IRM) function. The role will be responsible for providing advice, support and guidance to PPF staff on IRM topics and escalating challenges and issues to the Information and Data Governance Manager as appropriate. Key responsibilities include ensuring compliance with the Public Records Act, the initial benchmarking of the PPF’s digital preservation levels, and improving training and awareness at all staff levels in the organisation.

Suitable candidates will be those with a high academic qualification in records management / information governance or those with suitable and recent work experience in these fields. You’ll also be qualified or have work experience in Sharepoint, OneDrive, Teams and Microsoft Office 365 applications at senior user or administrator level.

Finally, you’ll champion information and records management good practice in different ways with diverse stakeholders; have good attention to detail and autonomy to review and classify records; be able to handle sensitive/classified information with professionalism; and be open and receptive to working with new technology (as well as having an inquisitive mind to learn and challenge it).

Sound like you? Apply now.

In return for your skills, experience and commitment, we’ll give you a challenging role within a business where you’ll get the support you need to develop your career.

Our Croydon office is opposite East Croydon station, which is around 15 minutes from London Victoria or London Bridge, 10 minutes from Clapham Junction or 25 minutes from Kings Cross / St Pancras

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.