IBM Integration Bus (IIB) Developer- Role - Hybrid - Banking

London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer – SC Cleared – Databricks

Data Engineer - SC Cleared

Data Engineer - Active SC required

Data Engineer - Active SC required

Data Engineer - Active SC required

IBM Integration Bus (IIB) Developer - Tier 1 Bank - 6 month contract - Hybrid

IIB / IBM / ACE / MQ / MIDDLEWARE / BANKING

Role - IBM Integration Bus (IIB) Developer

Duration - 6 months

Location - Remote / Canary Wharf, London - 3 days per week in the office in Canary Wharf, London.

Rate - £415 per day (Inside IR35)

Key Experience -

The IBM Integration Bus (IIB) developer will be responsible for development of new (as well as maintenance of existing) message flows, DFDL message models and other interface processes, which form part of the Bank's application internal and external interfaces.
Production support of existing interface processes, including troubleshooting and investigation of any issues relating to these processes.
Obtaining a high-level of understanding of relevant Middleware applications.
Obtaining a high-level of understanding of all projects being undertaken.
Responsible for designing and developing message flows and message models as part of the Bank's Interface Team.
Responsible for troubleshooting issues and assisting with code reviews to ensure optimal solutions are being delivered.
Responsible for new development, ongoing maintenance, and Production support of all the Bank's application, both internal and external interfaces.
Responsible for developing and maintaining interfaces between the Bank's applications, which are pivotal to the Bank's operations in both Europe and North America. The ideal candidate will have some experience in IBM ACE/IIB.
Work with various application team members and developers from other teams to perform their development work and they will be responsible for maintenance and support of the existing interface processes including investigation of issues and production support for the Bank's operations.Skills -

Solid experience with IBM Integration Bus v9 or higher(Preferably ACE 12), IBM MQ v8.0 or higher, MQFTE v7.0 or higher
Experience working with API Connect/Azure API Management & Apache Kafka
Experience in developing Message Sets and Message Definitions using XML, MRM and TDS formats.
Experience in developing message flows using Compute Nodes, SOAP Nodes, HTTP Nodes, Routing Nodes, Mapping Nodes, Java Compute Nodes, File Nodes (Input, Output, Read & Write) and Database Nodes.
Experience in Programming Languages: Korn Shell scripts, PERL, Java, Ant, SQL, ESQL.
Experience in working with Operating systems such as UNIX (AIX), Linux, Windows.
Experience in working with Databases such as Oracle 10G, 11i, PL/SQL, Stored Procedures.

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.

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.