Analytics Engineer

Building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible.
Data
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
8+ years of experience
Consumer

Description For Analytics Engineer

Deliveroo is revolutionizing the food delivery industry by creating the definitive online food company, making local food more accessible and convenient worldwide. As an Analytics Engineer, you'll be part of a dynamic team working with cutting-edge data technologies like Snowflake and Looker. You'll play a crucial role in providing clean, tested, and well-documented data sets that power decision-making across the organization.

The position offers an excellent opportunity to work with a large-scale data platform serving ~1500 active users. You'll be responsible for maintaining SQL transformation scripts, collaborating with data scientists, and optimizing Looker as a data product. The role requires expertise in SQL, data warehousing, and cloud-based MPP platforms.

Working at Deliveroo means being part of a fast-growing startup that prioritizes employee welfare and embraces diversity. The company offers comprehensive benefits including healthcare, parental leave, and generous time off. The hybrid work arrangement requires 3 days per week in the Bangalore office, providing a balance between collaborative office work and remote flexibility.

This is an ideal opportunity for an experienced analytics professional looking to make a significant impact in a company that's transforming the global food delivery landscape. You'll be working in an environment that values growth, innovation, and using technology to create positive change in how the world eats.

Last updated 8 days ago

Responsibilities For Analytics Engineer

  • Provide clean, tested, well-documented and well-modelled data sets
  • Work with product engineering teams to ensure modelling of source data meets downstream requirements
  • Maintain and develop SQL data transformation scripts
  • Advise and review data scientists on data modelling
  • Surface clean, intuitive datasets in Looker
  • Responsible for optimisation and further adoption of Looker as a data product

Requirements For Analytics Engineer

Python
  • 8+ years experience within the field of Analytics Engineering, Data Engineering, or BI Engineering
  • Excellent SQL skills
  • Understanding of data warehousing, data modelling concepts and structuring new data tables
  • Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift)

Benefits For Analytics Engineer

Medical Insurance
Parental Leave
  • Healthcare benefits
  • Well-being benefits
  • Parental leave
  • Pensions
  • Generous annual leave allowances
  • Time off for charitable causes

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