Future Tech Jobs Future Tech Jobs

Junior Data Engineer

Intec Select
Aldgate, EC3N 1LH, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Hays Technology London, United Kingdom
£310 pd

Junior Data Scientist

Experis Glasgow, City Of Glasgow, G2 1AL, United Kingdom
Hybrid

AWS Data Engineer

83zero Tower Hamlets, London, United Kingdom
£60,000 – £70,000 pa

AI & Data Archiect

Experis United Kingdom
£80,000 – £120,000 pa

Full Stack IoT Developer

Cubiq Recruitment Bowerhill, Wiltshire, SN12 6EY, United Kingdom
£55,000 – £60,000 pa

Senior Cyber Security Engineer (AI Safety)

Faculty AI London, United Kingdom
Hybrid
Posted
10 Apr 2026 (Last month)
Share
Save job
Create job alert

Junior Data Engineer – Financial Services – £40k - London

Overview:

We’re partnered with a leading financial services organisation in London seeking a Junior Data Engineer to join their growing team. Over the next 12 months, they’re modernising their stack by containerising workflows, migrating to cloud-based data systems, and introducing orchestration tools such as Prefect.

This is a hands on role contributing to a next-generation data platform and helping shape a new centralised data engineering function.

Role & Responsibilities:

Support the redesign of their data stack, including containerising workflows, migrating to cloud SQL, and introducing tools like Prefect.

Maintain and optimise 60 Python pipelines, refactoring legacy code into modular components.

Keep Power BI dashboards accurate and up to date, supporting evolving business needs.

Help implement validation and anomaly detection within their pipelines to ensure data integrity.

Manage Git workflows and assist in setting up lightweight deployment pipelines.

Maintain clear, up-to-date records of code, processes, and workflows.

Occasionally assist the research desk with Python-based analysis and data visualisation.Skills & Experience:

Essentials:

BSc in Computer Science or a related discipline

Solid Python programming skills

Good working knowledge of SQL

Comfortable using Git for version controlDesirables:

Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster)

Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt

Basic familiarity with Docker and BI tools (Power BI, Tableau)

Interest in shipping, financial markets, or commoditiesPackage:

£35-40,000 basic salary + bonus

Excellent career progression opportunities

5 days per week in brand new London officeJunior Data Engineer – Financial Services – £40k - London

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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 Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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 Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

🍪 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 Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.