National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Analyst and PMO - Banking, Investment, Financial, Trading

Broad Street
2 weeks ago
Applications closed

Related Jobs

View all jobs

Business Analyst and PMO - Banking, Investment, Financial, Trading

Junior/Mid-Level Software Developer (ASP.Net, C#, Entity Framework, SQL Server, Azure, TypeScript, React)- £45,000 – Hybrid/Altrincham – Remote working, flexible working, career progression, daily lunches, 20 + 8 days bank holiday

Business Analyst (Billing System)

ELK Senior Developer / Business Analyst

Business Intelligence Analyst

Business Intelligence Consultant

We are currently looking for an experienced Business Analyst with solid experience of operating within the Banking or Financial Services domain, to join our banking client for an inital 10-month contract based in the City of London.

Rate of Pay: Up to £540 per day (inside IR35 via an umbrella company)

Tenure: 10 months, extendable

Hybrid: 3 days onsite in Liverpool Street; 2 days remote

Essential Skills Required:

  • Experience working in a data team and collaborating with cross-functional teams to identify, scope and develop solutions

  • Familiarity with a range of data & analytics disciplines (e.g. data governance, data quality, business intelligence, data engineering, ad hoc analytics) and a passion for using data to improve business outcomes

  • Experience as Business Analyst, Data Analyst, Junior Project Manager or similar role.

  • Demonstrable experience using of the tools, principles, and best practices techniques appropriate to requirements gathering, analysis and documentation.

  • Understanding of project management principles and approaches like waterfall and agile

  • Effective written and verbal communication skills: (i) comfortable presenting to and facilitating group of business users at all levels, (ii) ability to describe technical solutions to non-technical colleagues

  • Ability to plan and manage own work to meet challenging deadlines with minimal supervision

  • Experience of working in the financial services industry and knowledge of data related regulatory requirements for financial service sector

  • Experience of working across multiple jurisdictions and cultures

  • SQL skills to support requirements and data analysis, ideally including both raw and aggregated data with the ability to review transformation logic

    If you have the aforementioned experience, please apply with your latest experience to learn more.

    Keywords: Business Analyst, SQL, data governance, data quality, business intelligence, BI, data engineering, PMO
National AI Awards 2025

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 UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.