Senior Data Platform Engineer

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Technology & 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 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

The Role

This role is for Data Platform Engineer, based in London. This role sits within our Data & Insights team, which provides the analytical infrastructure that underpins our advisory work. The team is building a modern data lakehouse on Snowflake, migrating legacy Alteryx and Tableau workflows into automated, versioned pipelines, and packaging outputs as software products with formal release cycles. We treat data engineering with the same discipline as product engineering: version-controlled, tested, continuously delivered, and documented.

The role itself will involve a range of activities including:

• Release lifecycle ownership (end-to-end): treat data products like software products by defining a clear release strategy (versioning, promotion through environments, rollback), and managing database/schema changes so delivery is predictable, low-risk, and repeatable
• CI/CD, testing & Git workflow: build and maintain automated test and deployment pipelines; establish branching and PR review discipline; write unit, integration, and data quality tests as a matter of course (not an afterthought)

The Candidate

This is a hands-on role for someone who wants real ownership in a lean, fast-moving team. You bring software engineering discipline as a default behaviour: you default to automation over manual process, you question un-versioned or untested code, and you treat CI/CD, testing, and release management as core practice applied to data products.

The ideal candidate will have the following:

Required (core)

• General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope
• CI/CD & release management -

Required (domain)

• Snowflake - hands-on with data modelling, SQL optimisation, compute management, and access controls
• dbt - production experience building and deploying models, tests, macros, and documentation

Desirable

• AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads
• Orchestration - Airflow, Prefect, Dagster, or equivalent
• Infrastructure-as-code - Terraform or similar
• Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices

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.

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