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 wed love to hear from you!
About Us:
is dedicated to building the worlds most powerful measurement solution for online retail. For over a decade weve 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.
Were scaling fast across London Mumbai and Austin and were 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 Lets go!
The Role:
As a Core Data Engineer at Fospha youll be at the heart of our data ecosystem. Youll design build and optimise pipelines that move transform and scale data across multiple systems. Working at the intersection of analytics engineering and machine learning youll ensure our data infrastructure grows as fast as our ambitions.
Youll 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