Oracle EBS Functional Support - Hybrid - 6 months - Banking

CV-Library
London
13 months ago
Applications closed

Related Jobs

View all jobs

Oracle ERP Service Owner Bank

Huxley Associates London, City And County Of the City Of London, United Kingdom
£50,000 – £130,000 pa

Oracle HCM Data Architect

Dabster Systems UK Limited United Kingdom

Enterprise Data Architect - Oracle Fusion

TRIA London, United Kingdom

GDPR Data Architect

Hays Technology Glasgow, City Of Glasgow, G2 1AL, United Kingdom
£650 – £730 pd

GDPR Data Architect

BrightBox Group Glasgow, City Of Glasgow, G2 1AL, United Kingdom
£600 – £700 pd

Data Engineer

Damia Group Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £500 pd
Posted
10 Apr 2025 (13 months ago)

Oracle EBS Functional Support - Tier 1 Bank - Lonond, Liverpool Street

Role - Oracle EBS Functional Support

Duration - 6 months with very likely extension

Location - Remote / London, Liverpool Street- 3 days per week in the office

Rate - £415 per day (Inside IR35)

Tasks

Responsible for Implementing, improving, monitoring, and maintaining the bank's Oracle financial application systems (i.e. Oracle General Ledger, Accounts Payable, Fixed Assets, including E-Business Tax modules) to ensure operational efficiency and data integrity as well as provide functional support to end users
Oracle E-Business Financial Module(s) day to day support, rollouts, enhancements for EMEA with primary focus on General Ledger, Accounts Payables and Fixed Assets modulesAdditional Tasks

Includes project scope, design, hands on configuration, testing, documentation and production support duties
Support all Oracle related interfaces
Provide training to business users.
Develop test scripts and test scenarios for user acceptance testing and system validation.
Perform system implementation (design and configuration), disaster recovery and general monitoring and maintenance tasks on Oracle E-Business Financial Suite.
Basic SQL skill for troubleshooting and interface projects

GCS is acting as an Employment Business in relation to this vacancy

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.

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. 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.

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

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.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.