Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Adobe Analyics Data Engineer

Cathedrals
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Lead Data Scientist

Lead Data Scientist

Senior Data Scientist - Defence

Adobe Analyics Data Engineer 

Our client is unable to provide sponsorship. 

A leading Mar-Tech corporation is hiring a Adobe Analyics Data Engineer to join a team of technical consultants with a background in data science/analytics who has experience with Data warehousing concepts who has EXCELLENT communication capabilities. This is a junior to mid level position, where you will be given time to develop and enhance your capabilities in Power BI, Adobe Analytics, and Google Analytics/Python. Our client is paying a basic salary of £35,000 (circa) + a Quarterly Bonus of 5 to 10% + additional benefits to be based in London on a hybrid basis.

Key Responsibilities:

Analyze and optimize digital performance using tools like Adobe Analytics and Google Analytics
Implement and manage tracking solutions with Adobe Launch and data layers
Develop actionable insights from complex data sets and communicate them clearly to both technical and non-technical stakeholders
Build compelling dashboards and visualizations using Tableau and Power BI
Manage data workflows with ETL tools, and enhance data-driven decision-making
Work closely with clients to understand their business objectives and deliver tailored insights
Contribute to A/B testing, attribution modeling, and customer journey analysis effortsKey Skills & Experience:

Bachelor’s degree in Data Science, Analytics, Business, Marketing, or related field
Proven experience in a digital data role, ideally within a consultancy or client-facing environment is a must have
Expertise in Adobe Analytics, Adobe Launch, and Google Analytics is a must have
Familiarity with cloud-based data platforms (AWS, Google Cloud, Snowflake) is a must have
Hands-on experience with JavaScript and data layer implementations
Strong proficiency in Tableau and Power BI for data visualization
Knowledge of Tealium or other tag management systems
Solid understanding of ETL processes and data processing workflows
Strong client-facing communication skills and the ability to manage stakeholder expectations
Experience with A/B testing, attribution modeling, and customer journey analysis is a plusIf you're a problem-solver with a passion for data and analytics, we want to hear from you! Apply now and take the next step in your career

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.