Job Description

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 SQL

Implement and maintain scalable

ELT/ETL frameworks

that power analytics and ML systems Collaborate with Data Science and Platform teams to ensure

robust and reliable model deployment pipelines

Own the

reliability, scalability, and observability

of data workflows in production Contribute to

data architecture decisions and documentation

, ensuring data integrity and consistency across sources Design and maintain

data models used by ML Engineers, Data Analysts, and Data Scientists

Drive

automation, versioning, and quality validation

in data delivery Conduct

exploratory data analysis

to uncover trends and inform strategic decision-making Identify opportunities for

process improvement

and promote a culture of continuous data excellence In 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 SQL

Demonstrate a strong grasp of

data modelling, warehousing, and orchestration tools

Understand

data architecture and ELT flows

Are familiar with

ML Ops principles

and how they integrate with engineering systems Have experience with

cloud-native data stacks (preferably AWS)

Take a pragmatic approach to balancing perfection with delivery Understand

agile methodologies and best practices

Know 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 heard

Work 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 impact

Grow:

We are proactive, curious and unafraid of failure

Customer at the heart:

We care about the customer, feel their pain and love building product that solves their biggest problems

Candour with caring:

We deliver candid feedback with kindness and receive it with gratitude

What we can offer you:

Competitive salary Be exposed to the right mix of challenges and learning and development opportunities 25 days of paid holiday + your birthday off! * Quarterly team socials