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

Apply Now

Senior Backend Data Analyst - Europe

Comcast
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Analyst - Thg Nutrition

Senior Football Data Analyst

Data Scientist / Software Engineer

Senior Data Engineer

Data Scientist

Overview

Join to apply for the Senior Backend Data Analyst - Europe role at Comcast.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

As a Global Business Intelligence Data Engineer 3 on Freewheel’s System Administration and Automation Team, you will leverage a dynamic skill set as you help us create and implement standards and best practices in our rapidly growing Snowflake Environment. You will be an excellent communicator who is comfortable providing expert consultation on our tool sets both remotely and in person to all levels of the organization. You will have a passion for data technologies and will code, test, and debug new and existing applications using SQL and other Data Engineering and BI Tools. You will be driven to learn about Freewheel’s Ad-Tech driven products (Streaming Hub, Strata, and others) and how their processes are implemented in Snowflake and other tools such as Looker and Tableau. You will be a subject matter expert that understands how data flows across our platforms and assist in creating cleaner and streamlined data workflows throughout the FreeWheel Enterprise. 12 Month Fixed Term Contract

Job Description

In this role, you will:

  • Design new software and Data Engineering applications in the Snowflake Environment
  • Displays in-depth knowledge of engineering methodologies, concepts, skills and their application in Snowflake and related technologies.
  • Develop advanced SQL and ETL code for support of FreeWheel’s BI Systems
  • Work closely with internal stakeholders and business partners to understand their needs and transform them into functioning solutions
  • Employ platform best practices to deliver world-class solutions.
  • Conduct regular presentations both in person and remotely to all levels of the FreeWheel organization
  • Display in-depth knowledge of and ability to apply process design and redesign skills. Present and defend architectural, design and technical choices to internal audiences.
  • Display knowledge of and ability to apply project management skills.
  • Display consistent exercise of independent judgment and discretion in matters of significance.

Our Tech Stack

  • Bachelor\'s degree or equivalent required.
  • 4+ years of experience in Data Analysis and Data Pipeline Engineering
  • Knowledge of Snowflake Architecture, Best Practices, and Implementation is a major plus
  • Strong knowledge of SQL Development is required
  • Experience with Visualization BI tools such as Looker, Tableau and/or Power BI.
  • Experience with a scripting language (Python or R) is a plus.
  • Experience with Fivetran or other ETL Tools is a plus
  • Experience in Advertising Technology is a major plus.
  • Experience with FreeWheel Data and Products (Streaming Hub, Strata) is a plus
  • Fluency in French is a plus, but is not required

Requirements/ About you/ To be successful you will need to:

  • Ability to drive software development activities to meet project schedules and timelines
  • Ability to ensure code quality is high with supporting unit tests
  • Must have the ability to scope the technical portion of a project, estimate effort, and develop/architect individual solutions
  • Must have strong verbal and written communication skills and the ability to work effectively with both technical and non-technical groups
  • Must be team player who possesses the ability to work with cross-functional and geographically diverse teams
  • Experience with agile development methodologies is preferred

About FreeWheel

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Education

Bachelor\'s Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.