Senior Developer - Data & AI

London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior SQL Developer Contract Dublin

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer

Lead Database Specialist | SQL & C

SAS Data Engineer

Data Engineer

Senior Developer - Data & AI

I'm working with a successful financial advisory firm based in Central London that has recently launched a new Technology & Innovation function as part of a wider digital transformation programme. The business is now looking for a Senior Developer with strong Data Engineering and AI experience to help shape its future direction.

As part of this role, you will be responsible for some of the following areas:

Lead the design and implementation of AI-driven solutions
Build and optimise data models and databases to support advanced analytics
Drive automation initiatives to improve operational efficiency across the business
Extract and deliver commercial insights from varied data sources to support decision-making
Mentor junior team members and promote best practices across the development lifecycle
Collaborate closely with stakeholders across the business in a highly visible, hands-on roleTo be successful in the role you will have:

Proven experience in Data Engineering, including database design and modelling
Hands-on experience building AI capabilities and deploying models
Strong Python development skills
A solid understanding of automation and its impact on business processes
Experience mentoring or leading others in a technical environmentIn this role, you'll be required to attend the Central London office three days per week, with the remaining time spent working remotely. Some of the benefits included with the role are listed below:

Starting salary of up to £100,000
Bonus scheme of up to 20%
Opportunity to shape a newly formed innovation function
Exposure to cutting-edge AI and data projectsThis is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out-APPLY now! To do so, please email me at

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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

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.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.