Senior Data Engineer at MediaSense in London, England, GB

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Tech & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development.

The Company

mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category – recognized as the world’s most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn’t happen in isolation, it takes alignment, intelligence, and trust. That’s what we enable. That’s what we stand for. That’s Unified Marketing Intelligence.

mediasense is designed around how we help marketers optimize and transform through best-in-class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth.

mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit http://www.media-sense.com

What We Offer

• Hybrid working
• Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service
• Day off for your birthday + 10 days annual leave purchase per year
• Length of service awards
• Work from any location in the world up to 4 weeks per year
• Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus
• Pension & Group life insurance
• Private healthcare, enhanced parental, Employee assistance program,
• Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes
• Eye test & contribution towards glasses for VDU
• Charity Day plus fund raising events for charity
• Learning & development opportunities
• Frequent events- such as summer, winter & bi-weekly socials
• Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts

The Role

This role is for a Senior Data Engineer, based in London. This role will report into the VP, Data & Insights Lead.

We are looking for someone who brings data engineering discipline as a first instinct: CI/CD, testing, and release management as core practice, applied to data product development. This is a mid-level, hands-on role for a technically strong generalist who wants real ownership in a lean, fast-moving team.

The role itself will involve a range of activities including:

• Data product development: design, build, and maintain data pipelines on Snowflake - staging through to mart - and package outputs as versioned products with defined schemas and release notes
• CI/CD & testing: establish and champion automated test and deployment pipelines; write unit, integration, and data quality tests as a matter of course, not an afterthought
• Platform operations: administer and optimise our Snowflake environment - compute, query performance, cost management, and access controls
• Legacy migration: support the move of Alteryx-based workflows into maintainable, automated pipelines within the lakehouse
• Infrastructure-as-code: contribute to reproducible, auditable environment management using Terraform or equivalent
• Collaboration: translate requirements from data scientists and analysts into engineering solutions; support analysts on their engineering development pathway
• Documentation: maintain clear technical documentation so knowledge is transferable and does not reside with any single individual

The Candidate

The ideal candidate will have a strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don’t, and code you’re proud to have the next person read.

The ideal candidate will have the following:

Required:

• General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope
• Snowflake - hands-on with data modelling, compute management, SQL optimisation, and access controls
• Python - fluent for pipeline development, ETL/ELT patterns, and automation; clean, testable code
• CI/CD- practical experience with GitHub Actions or equivalent; version control as professional discipline
• Testing - writes tests as a matter of course: pytest, Great Expectations, DBT tests or equivalent
• Engineering fundamentals - design patterns, modular architecture, release management, and documentation standards

Desired:

• DBT - models, tests, macros, and documentation
• Orchestration - Airflow, Prefect, Dagster, or equivalent
• Infrastructure-as-code - Terraform or similar
• Data Governance - lineage tracking, quality frameworks, access policy

Every application is reviewed by a human on our team (not AI), so it may take us a bit of time to get through them. Because of the large number of applications we receive, we’re not always able to reply to everyone individually especially via messages but we truly appreciate your interest.

Please note that can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship