- Optionales Büro in Mumbai
- 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?
About Blenheim Chalcot
Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.
About Fospha:
The Role:
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?
- 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:
- 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
Blenheim Chalcot is a proud Equal Opportunity Employer. Diversity is one of our core values, thus making it core to our business. We strive to maximize the diversity of our workforce and welcome applications from everyone. We encourage diversity through perspective, background, identity, and thought whilst also fostering an environment where everyone can express themselves regardless of your race, religion, sex, gender, colour, national origin, disability, or any other applicable legally protected characteristic. We are committed to continuing to nurture an inclusive environment and building a diverse workforce.
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 [email protected] – 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.
