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

Data Engineer

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

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Jobs

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.

🍪 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.