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- Tasks: Design and optimise data pipelines using cutting-edge tools like dbt, Python, and SQL.
- Company: Join a fast-growing tech business with a global presence in London, Mumbai, and Austin.
- Benefits: Competitive salary, flexible benefits, 25 days holiday plus your birthday off, and free snacks!
- Why this job: Make a real impact by building scalable data infrastructure that powers analytics and machine learning.
- Qualifications: Experience in data pipeline development and understanding of data architecture and ELT flows.
- Other info: Dynamic environment with opportunities for growth and learning from industry experts.
The predicted salary is between 50000 - 60000 £ per year.
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?
As a Core Data Engineer at Fospha, you will be at the heart of our data ecosystem. You will 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 will ensure our data infrastructure grows as fast as our ambitions. You will 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
- Excited by the opportunity GenAI brings and interested in integrating our GenAI hub into new ways of working
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
- 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
- Competitive salary
- Be part of a leading global venture builder, Blenheim Chalcot and learn from the incredible talent in BC
- Be exposed to the right mix of challenges and learning and development opportunities
- Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc
- 25 days of paid holiday + your birthday off!
- Free snacks in the office!
- Quarterly team socials
Data Engineer in London employer: Fospha Marketing
Contact Detail:
Fospha Marketing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. Don’t be shy; ask for informational interviews to learn more about their experiences and share your passion for data engineering.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving dbt, Python, and SQL. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines and how you tackle challenges in data quality and architecture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with dbt, Python, SQL, and any cloud-native stacks you've worked with. We want to see how you can contribute to our data ecosystem!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for data engineering and how you fit into our values. Share specific examples of your work and how it relates to the responsibilities outlined in the job description. Let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills, especially those involving data pipelines and ML Ops principles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Fospha Marketing
✨Know Your Tech Stack
Make sure you’re well-versed in dbt, Python, and SQL. Brush up on your knowledge of data pipelines and ELT/ETL frameworks. Being able to discuss your past experiences with these tools will show that you’re ready to hit the ground running.
✨Understand the Role
Familiarise yourself with the responsibilities of a Core Data Engineer. Be prepared to talk about how you would design and optimise data pipelines, and how you can contribute to data architecture decisions. This shows you’re not just interested in the job, but you understand its impact.
✨Show Your Collaborative Spirit
Since this role involves working closely with Data Science and Platform teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your ability to communicate effectively and work as part of a team to achieve common goals.
✨Embrace Continuous Learning
Demonstrate your passion for growth and learning, especially in relation to GenAI and ML Ops principles. Talk about any recent projects or courses you've undertaken to stay updated in the field. This aligns perfectly with their value of being proactive and curious.