Future Tech Jobs Future Tech Jobs

Technical Systems Analyst (ECB Onboarding, Risk / ESG)

GCS
London, United Kingdom
Last month
£500 – £850 pd
Applications closed

Related Jobs

View all jobs

Systems and Data Analyst

Acis Group Gainsborough, Lincolnshire, United Kingdom
£35,000 – £42,200 pa

Senior Business Analyst

Premier IT Surrey, United Kingdom
£50,000 – £55,000 pa

SC & DV Cleared Data Consultants and Analysts

VIQU IT Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£50,000 – £60,000 pa On-site Clearance Required

Senior Cloud Operations Analyst

Matillion India
On-site

Data Engineer

Ncounter Latchmere, London, TW10 5HW, United Kingdom
£90,000 – £100,000 pa

Senior AWS Data engineer (LDW Data Warehouse Discovery)

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £480 pd

Salary

£500 – £850 pd

Posted
3 Apr 2026 (Last month)
Share
Save job
Create job alert

Role - Technical Systems Analyst (ECB Onboarding, Risk / ESG)

Duration - 6 months with very likely extension

Location - Hybrid / Liverpool Street (London) - 50% of the month in a Liverpool Street office

Rate - £500 - £890 per day

Role -

Technical Systems Analyst to support the analysis and implementation of a new data platform with focus on Risk and ESG. The ideal candidate will bring experience in business/systems analysis, preferably within banking or financial services, with strong capabilities in technical requirements gathering, data architecture, and database‑related design.

Responsibilities

Contribute to the technical implementation of a solution to address ESG reporting needs.

Gather, analyse, and document technical and non-functional requirements, translating system constraints and architectural needs into detailed Technical Requirements Documents (TRDs) or equivalent specifications.

Work closely with Business, Data Governance and IT delivery teams to support end‑to‑end solution design and execution.

Facilitate IT activities including solution design, configuration, testing, and deployment in collaboration with internal teams and external vendors.

Drive alignment among stakeholders across Risk, Compliance, Sustainability, Data Governance, and IT, ensuring clarity of scope and technical feasibility.

Ensure adherence to regulatory requirements and internal policies related to ESG and Data Governance.

Define and maintain data lineage for critical datasets across upstream and downstream systems.

Contribute to database design, including schema development, normalization, and optimization.

Produce and review data models (conceptual, logical, and physical).

Work with architects and engineers to shape data pipelines, integration patterns, and metadata structures.

Ensure alignment with data‑architecture principles, BCBS239 data‑quality expectations, and strong data‑management practices.

Develop and maintain ERDs (entity‑relationship diagrams) and data dictionaries.

Support implementation of lineage tooling, metadata repositories, and structured governance workflows.

Required Qualifications:

Minimum 10 years of experience in business/systems analysis, with a focus on banking or financial services.

Proven experience in data analysis, data modelling, and database design.

Strong understanding of technical and non-functional requirements, including performance, security, and scalability.

Experience with interface specification and integration design, including data mapping and data‑flow design.

Excellent stakeholder management and communication skills, with the ability to bridge business and technical perspectives.

Experience working closely with product owners, data engineers and QA for delivery.

Experience working in an Agile/Scrum environment and experience of creating user stories.

Experience with data profiling and validation.

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

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.