Senior Engineer(Business Intelligence)

• Familiarity with technical architecture paradigms like microservices or event-driven
• Experience with programming languages like Python, JavaScript, or TypeScript
• Familiarity with AI concepts like the Model Context Protocol (MCP), AI agents, and prompt engineering
• Monitoring & Observability

dunnhumby’s Technology and Engineering team builds the platforms, pipelines and systems that make customer data science possible at scale. From the data infrastructure that ingests billions of transactions to the APIs and cloud architecture that power our products, we engineer reliable, high-performance software trusted by the world’s leading retailers and brands.

We’re looking for a Senior Software Engineer - BI who expects more from their career. It’s a chance to extend and improve dunnhumby’s Data Science Platform. The Business Intelligence (BI) squad is responsible for integrating our BI platform into our Data Science Platform, products, and internal workflows. Joining our engineering team, you’ll work with passionate people to build, extend, and maintain our BI platform that will underpin all our client engagements and internal reporting.

Our work is varied, giving you the flexibility to move between products and technologies, so natural curiosity is essential. As a team we're friendly, will help you get up to speed, and offer you plenty of opportunities to innovate.

• 5+ years of experience in SQL, database modelling, semantic layers, and data visualization
• Experience working with Business Intelligence tools(Looker preferred)
• Experience working with cloud technologies (GCP & Azure)
• Solid understanding of high-quality coding, testing, and development practices

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

And we don't just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process — please let your recruiter know what adjustments would help.

• Healthcare & Family Cover: Group Medical Insurance of INR 500,000 for employees and dependents, plus dental and vision cover up to INR 5,000.
• Protection: Group Term Life Insurance and Group Personal Accident cover with benefit levels linked to employee grade, including disability benefits.
• Retirement & Wellbeing: Provident Fund, Gratuity, National Pension Scheme access, Indian Health Organisation membership, and confidential employee assistance support.
• Lifestyle & Flexibility: Office commute support, internet allowance of INR 2,000 per month for blended working, work-from-home kit support, subsidised food, and wellbeing resources.
• Recognition & Extras: Long service awards, Talent Scout referral programme, and family milestone support.
• Time Off & Family Leave: 25 days holiday plus 10 public holidays, paid maternity, paternity and adoption leave, and a day off for your birthday.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found(here)

dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.