Future Tech Jobs Future Tech Jobs

Applications Support Engineer

Matchtech
Harlow, United Kingdom
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

Data Engineer

South Norfolk and Broadland Council Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

AI Engineer

Hays Technology Manchester, United Kingdom
On-site Clearance Required

Full Stack IoT Developer

Cubiq Recruitment Bowerhill, Wiltshire, SN12 6EY, United Kingdom
£55,000 – £60,000 pa On-site

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Full Stack Software Engineer

83zero Lime Street, City And County Of the City Of London, United Kingdom
£100,000 – £130,000 pa Hybrid
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
30 Apr 2026 (2 weeks ago)

Benefits

25 days holiday Pension Private healthcare
Share
Save job
Create job alert


Our client, a prominent player in the Defence & Security sector, is currently looking for an Applications Support Engineer to join their dynamic team based in Harlow (Hybrid). This position is a Fixed Term Contract for 12 months, offering full-time hours of 37 hours per week. The successful applicant must be SC eligible.

About the Role:


The Applications Support Engineer will become part of the wider Data and BI Product Family, initially focusing on technical deployment and application support for a major financial planning transformation. This role involves a close working relationship with programme teams and Digital Technology functions such as Architecture, Security, and Operations. Strong technical troubleshooting skills and hands-on experience with financial planning platforms are essential.

Key Responsibilities:Deployment & Technical Support:
  • Support the initial deployment, configuration, and technical validation of the new financial platform.
  • Provide hands-on troubleshooting and issue resolution across application, interface, and configuration layers.
  • Work closely with infrastructure, network, and security teams to ensure end-to-end environment readiness.
Collaboration & Cross-Functional Engagement:
  • Collaborate with key programme stakeholders including Architecture, Engineering, Programme Delivery, QA, and Finance Operations.
  • Participate in Agile ceremonies and contribute to iterative delivery cycles, backlog refinement, and continuous improvement.
  • Assist in interpreting architectural and design requirements into actionable support tasks.
Operational Readiness & Transition:
  • Prepare the wider support organisation for steady-state operations by developing documentation, standard operating procedures, and knowledge articles.
  • Deliver training and knowledge-transfer sessions to ensure operational teams can confidently support the live Finance platform.
  • Contribute to hyper-care and early life support activities post-go-live.
Monitoring, Incident Management & Continuous Improvement:
  • Implement and maintain monitoring solutions to ensure system availability and performance.
  • Manage incident triage, root cause analysis, and problem resolution for platform-related issues.
  • Identify opportunities to enhance stability, resilience, and operational efficiency of the platform.
Job Requirements:Essential:
  • Experience in application support, ideally with finance platforms, OneStream in particular.
  • Strong understanding of Service Management frameworks such as ITIL.
  • Solid background in:
    • Operating system management (Windows/Linux)
    • Application troubleshooting and performance optimisation
    • Log analysis, system monitoring, and incident management
  • Ability to collaborate effectively with technical and non-technical stakeholders.
  • Experience working in structured delivery environments; familiarity with Agile ways of working is advantageous.
Desirable:
  • Experience in support of a wide range of Data and MI/BI platforms.
  • Experience supporting applications in regulated industries (e.g., government, aerospace, and defence).
  • Knowledge of integration concepts (ETL, Event, APIs, message-based interfaces).
  • Exposure to deployment automation or DevOps practices.
Personal Attributes:
  • Strong analytical and problem-solving mindset.
  • Clear communicator able to work across diverse technical teams.
  • Proactive, collaborative, and committed to delivering high-quality support.
  • Adaptable, eager to learn, and able to transition seamlessly between project and BAU contexts.


If you are a dedicated and skilled Applications Support Engineer looking to contribute to national security projects within a supportive and innovative environment, apply now to join our client's esteemed team in Harlow.

Industry Insights

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

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.