Home › Companies › Mediasense › Senior Data Platform Engineer
Senior Data Platform Engineer
Mediasense · London, Greater London, W1T 3LP, United Kingdom · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Mediasense |
| Title | Senior Data Platform Engineer |
| Normalized title | - |
| Department / team | - |
| Location | London, Greater London |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-04-28 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Mediasense. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in London. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Mediasense |
| Source | 9a5c7c80-7707-49f4-b73f-1f89c07593c3 |
| ATS provider | BambooHR |
Description
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
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 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)
Operational health of the data platform: own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls)
Legacy maintenance & migration (supporting responsibility): maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform
Infrastructure, security & data governance: contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built-in by default
Interfaces, standards & collaboration: work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low-friction, and resilient
Documentation & runbooks: maintain clear technical documentation, operational runbooks, and post-incident learnings so knowledge is transferable and systems don’t rely on tribal memory
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 - practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control
Python - fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code
Git workflow & code review discipline - comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely
Testing & quality mindset - writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent)
Debugging, troubleshooting & maintainable architecture - comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks
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
Full job record
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| Board ID | 9a5c7c80-7707-49f4-b73f-1f89c07593c3 |
| Provider | bamboohr |
| Provider Job Key | 155 |
| Title | Senior Data Platform Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | London, Greater London, W1T 3LP, United Kingdom |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | — |
| Region | Greater London |
| City | London |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://mediasense.bamboohr.com/careers/155 |
| Apply URL | https://mediasense.bamboohr.com/careers/155 |
| First Seen At | 2026-05-30 06:01:30Z |
| Last Seen At | 2026-06-06 10:22:00Z |
| Last Checked At | 2026-06-06 10:22:00Z |
| Last Changed At | 2026-05-30 06:01:30Z |
| Inactive At | — |
| Source Posted At | 2026-04-28 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mediasense/date=2026-06-06/2026-06-06T10-21-58-540Z-7ddd889d8cd1e92a02f44e758dfae1a852cbf585f8ac2381ec8f213bfb4780eb.json |
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"description": "<p>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.<br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">The Company</span></p>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>mediasense has over 200 employees across London, New York, Singapore and New Delhi. <br>For more information, visit <span><a href=\"http://www.media-sense.com\" target=\"_blank\" rel=\"noopener noreferrer\">www.media-sense.com</a></span><br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We Offer</span><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Hybrid working</span></li>\n<li><span style=\"font-size: 12pt\">Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service</span></li>\n<li><span style=\"font-size: 12pt\">Day off for your birthday + 10 days annual leave purchase per year</span></li>\n<li><span style=\"font-size: 12pt\">Length of service awards</span></li>\n<li><span style=\"font-size: 12pt\">Work from any location in the world up to 4 weeks per year</span></li>\n<li><span style=\"font-size: 12pt\">Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus</span></li>\n<li><span style=\"font-size: 12pt\">Pension & Group life insurance</span></li>\n<li><span style=\"font-size: 12pt\">Private healthcare, enhanced parental, Employee assistance program,</span></li>\n<li><span style=\"font-size: 12pt\">Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes</span></li>\n<li><span style=\"font-size: 12pt\">Eye test & contribution towards glasses for VDU</span></li>\n<li><span style=\"font-size: 12pt\">Charity Day plus fund raising events for charity</span></li>\n<li><span style=\"font-size: 12pt\">Learning & development opportunities</span></li>\n<li><span style=\"font-size: 12pt\">Frequent events- such as summer, winter & bi-weekly socials</span></li>\n<li><span style=\"font-size: 12pt\">Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts</span></li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">The Role</span></p>\n<p>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.</p>\n<p> </p>\n<p>The role itself will involve a range of activities including:</p>\n<p> </p>\n<ul>\n<li><span style=\"font-weight: bold\">Release lifecycle ownership (end-to-end): </span>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</li>\n<li><span style=\"font-weight: bold\">CI/CD, testing & Git workflow: </span>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)</li>\n<li><span style=\"font-weight: bold\">Operational health of the data platform: </span>own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls)</li>\n<li><span style=\"font-weight: bold\">Legacy maintenance & migration (supporting responsibility): </span>maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform</li>\n<li><span style=\"font-weight: bold\">Infrastructure, security & data governance: </span>contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built-in by default</li>\n<li><span style=\"font-weight: bold\">Interfaces, standards & collaboration: </span>work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low-friction, and resilient</li>\n<li><span style=\"font-weight: bold\">Documentation & runbooks: </span>maintain clear technical documentation, operational runbooks, and post-incident learnings so knowledge is transferable and systems don’t rely on tribal memory</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">The Candidate</span></p>\n<p>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.</p>\n<p>The ideal candidate will have the following:</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Required (core)</span><br></p>\n<ul>\n<li><span style=\"font-weight: bold\">General project management</span> - ability to manage timelines, communicate to stakeholders, and deliver to scope</li>\n<li><span style=\"font-weight: bold\">CI/CD & release management - </span>practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control</li>\n<li><span style=\"font-weight: bold\">Python - </span>fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code</li>\n<li><span style=\"font-weight: bold\">Git workflow & code review discipline - </span>comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely</li>\n<li><span style=\"font-weight: bold\">Testing & quality mindset - </span>writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent)</li>\n<li><span style=\"font-weight: bold\">Debugging, troubleshooting & maintainable architecture - </span>comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required (domain)</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Snowflake - </span>hands-on with data modelling, SQL optimisation, compute management, and access controls</li>\n<li><span style=\"font-weight: bold\">dbt - </span>production experience building and deploying models, tests, macros, and documentation</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">Desirable</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">AWS and/or Azure - </span>comfortable navigating cloud environments to maintain and progressively migrate legacy workloads</li>\n<li><span style=\"font-weight: bold\">Orchestration - </span>Airflow, Prefect, Dagster, or equivalent</li>\n<li><span style=\"font-weight: bold\">Infrastructure-as-code - </span>Terraform or similar</li>\n<li><span style=\"font-weight: bold\">Data governance & observability - </span>lineage, data quality frameworks, access policy, and monitoring/alerting practices</li>\n</ul>\n<p> </p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">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</span></p>",
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