Data Engineer

Are you excited by the idea of helping scale a fast-growing tech business across London, Mumbai and Austin?
Do you want to build a career in data engineering while working with cutting-edge GenAI tools?
Are you passionate about building scalable data infrastructure that powers analytics, machine learning, and customer insights?
 
If so, we'd love to hear from you

About Us:

Fospha
is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.
Trusted by over 200 leading brands across three continents, including Huel, Oh Polly, and Represent, Fospha manages $2.5 billion in annual ad spend.
 
We're scaling fast across London, Mumbai, and Austin – and we're now looking for a Core Data Engineer to join our Core Data Team to support the growth of the business through robust, scalable data infrastructure.
 
Ready to make your mark? Let's go

The Role:

As a Core Data Engineer at Fospha, you'll be at the heart of our data ecosystem. You'll design, build, and optimise pipelines that move, transform, and scale data across multiple systems. Working at the intersection of analytics, engineering, and machine learning, you'll ensure our data infrastructure grows as fast as our ambitions.
 
You'll define data quality standards, shape the data roadmap, and support high-quality data access for our Data Science and Analytics teams. This is a high-impact role where your work will directly empower teams to move faster and deliver smarter insights.

Key Responsibilities:

Design, build, and optimise data pipelines using dbt, Python, and SQLImplement and maintain scalable ELT/ETL frameworks that power analytics and ML systemsCollaborate with Data Science and Platform teams to ensure robust and reliable model deployment pipelinesOwn the reliability, scalability, and observability of data workflows in productionContribute to data architecture decisions and documentation, ensuring data integrity and consistency across sourcesDesign and maintain data models used by ML Engineers, Data Analysts, and Data ScientistsDrive automation, versioning, and quality validation in data deliveryConduct exploratory data analysis to uncover trends and inform strategic decision-makingIdentify opportunities for process improvement and promote a culture of continuous data excellenceIn addition to your core responsibilities, we expect you to be excited by the opportunity GenAI brings and find new ways of working utilising our GenAI hub

What are we looking for?

We hire for potential – you should apply if you:
Have proven experience building data pipelines in dbt, Python, and SQLDemonstrate a strong grasp of data modelling, warehousing, and orchestration toolsUnderstand data architecture and ELT flowsAre familiar with ML Ops principles and how they integrate with engineering systemsHave experience with cloud-native data stacks (preferably AWS)Take a pragmatic approach to balancing perfection with deliveryUnderstand agile methodologies and best practicesKnow how to apply data quality frameworks and version control in data delivery

Our Values and Principles:

You will be able to demonstrate examples of our core principles:
Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heardWork Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impactGrow: We are proactive, curious and unafraid of failureCustomer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problemsCandour with caring: We deliver candid feedback with kindness and receive it with gratitude

What we can offer you:

Competitive salaryBe exposed to the right mix of challenges and learning and development opportunities25 days of paid holiday + your birthday offQuarterly team socials

By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role.  This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for.  You can ask us at any time to remove your CV from our database by emailing  – but please note that this means we will no longer consider you for the role you have applied for. You can review our privacy policy here.

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