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

Nominate & Attend

Data Engineer – AWS | Innovative Financial Services | Hybrid London

Finsbury Square
2 weeks ago
Create job alert

Data Engineer – AWS | Innovative Financial Services | Hybrid – London
£70,000 – £75,000 + Benefits | Permanent - AWS Redshift, Glue, Lambda, S3

We’re working with a fast-growing, forward-thinking company in the financial services space that is undergoing a major data transformation. As part of their commitment to a data-driven future, they’re looking to bring on a Data Engineer to help scale their modern AWS cloud data platform.

This is a fantastic opportunity for someone who enjoys hands-on engineering, collaborating across teams, and having a real impact on how data is used throughout an organisation.

🔍 What You’ll Be Doing

  • Develop and maintain robust ELT pipelines and cloud-native data warehouse infrastructure (AWS stack)

  • Create and manage curated data models to support analytics, reporting, and operational use cases

  • Build and support reusable datasets and internal data layers used across multiple business functions

  • Collaborate with stakeholders to ensure data is accessible, high-quality, and documented

  • Promote the use of self-service analytics tools by building structured models and documentation

  • Contribute to team knowledge-sharing and best practice initiatives

    ✅ What You’ll Bring

  • 3+ years' experience in a data engineering role, ideally in a cloud-native environment

  • Strong programming skills in SQL and Python for data transformation and workflow automation

  • Experience with AWS data tools (e.g. Redshift, Glue, Lambda, S3) and infrastructure tools such as Terraform

  • Understanding of data modelling concepts (e.g. dimensional models, star/snowflake schemas)

  • Knowledge of data quality, access controls, and compliance frameworks

    🌟 Nice to Have

  • Experience with orchestration or pipeline frameworks like Airflow or dbt

  • Familiarity with BI platforms (e.g. Power BI, Tableau, QuickSight)

  • Exposure to streaming data, observability, or data lineage tools

  • Comfort working with diverse data sources such as APIs, CRMs, or SFTP

    💡 Why Apply?

  • Join a growing data team with greenfield projects and genuine ownership opportunities

  • Work on cloud-first, modern tooling in a company that invests in technology

  • Be part of an open, collaborative culture with real influence over data direction

  • Hybrid working model (3 days in office – central London)

    📩 Ready to take the next step? Apply today for immediate consideration.

    Salary: £65,000 - £75,000 + benefits

    Location: London - Hybrid working - 3 days in the office

Related Jobs

View all jobs

Senior Data Analyst

QA Engineer

Principle Data Engineer ( AWS & Airflow )

AWS Data Engineer

Senior AWS Data Engineer

Senior Data Engineer (SQL Server / AWS)

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.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

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.