Senior Data Engineer - AI & Data in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Kitopi is a creator of magical food experiences—we discover, create, and curate homegrown brands from the region, for the region.
With a purpose to satisfy the world’s appetite to create joy, Kitopi owns and operates a diverse portfolio of over 200+ brands. These brands are either created, discovered, or curated with their customers in mind.
Launched in Dubai, UAE, in January 2018, Kitopi has grown to become one of the greatest success stories in the food tech space. Kitopi’s growth has been fueled by its innovative and scalable software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS), an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry and remain the leading food company in the region.
It also operates its Customer Experience Center in Amman, Jordan, and its Engineering Hub in Krakow, Poland.
We're looking for a Senior Data Engineer to design, build, and scale the pipelines that power our analytics and AI platforms. You will own the full flow from ingestion and preparation to modeling and aggregation in a modern Snowflake-centred stack, with data quality, testing, and ELT best practices built in from day one. You will also help shape how we use AI within data engineering workflows, from pipeline automation to intelligent data produc
Design, build, and scale robust ELT pipelines across ingestion, transformation, modeling, and aggregation layers in the warehouse
Embed data quality checks, testing, and automation into every stage of the pipeline
Improve and extend existing data products; Own pipeline monitoring, alerting, and maintenance to keep the platform reliable and performant
Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks
Contribute to and help shape company-wide data governance standards
Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data
5–7 years of hands-on data engineering experience
- Proven production data engineering experience at scale
- Strong Python and SQL skills
- Deep analytical warehouse expertise: dimensional modeling, performance tuning, warehouse-native SQL patterns
- Hands-on experience with DWH testing and automation frameworks
- Experience orchestrating pipelines with Airflow and building transformations with dbt.
First, you apply, and our talent attraction team will review your profile. These rounds could include a case study, role-play, trial assignment, or live coding session, which will be communicated to you in the initial conversation.
Our company values act as our guiding principles to help ensure that everyone feels safe, included, and like they truly belong.
Whether you are a seasoned professional, a recent graduate, or someone looking to return to the workforce after a break, we encourage you to apply. We celebrate rich diverse backgrounds, lifestyles, and cultures and have a 0-tolerance policy towards racism, bigotry, and hate. Please apply if you see a position that makes your heart skip a beat and help us build a company that we are all proud to work for.