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

Apply Now

Senior Backend Data Analyst - Europe

Blueface Ltd
City of London
4 days ago
Create job alert

Senior Backend Data Analyst - Europe page is loaded## Senior Backend Data Analyst - Europelocations: Great Britain - London, 1 St Giles High Sttime type: Full timeposted on: Posted Todayjob requisition id: R420954FreeWheel, 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 SummaryAs 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. Presents and defends 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 requiredRequirements/ 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**AboutFreeWheel:**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.We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.Please visit the on our careers site for more details.EducationBachelor's DegreeWhile 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.Certifications (if applicable)Relevant Work Experience5-7 YearsComcast 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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Software Engineer I - Data Governance - Java

Senior Python Data Engineer - Experimentation Platform

Senior Data Engineer

Senior Search Data Engineer

Senior Data Engineer

Data Engineer II - AI Agents

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

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

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.