Senior Analytics Engineer

Deliveroo3 weeks ago

Location

Hyderabad - Main Office

Type

Full Time

Level

Senior

Role

Analytics Engineer

Posted

Feb 19, 2026

Full TimeSenior

The role

Summary

Senior Analytics Engineer role at Deliveroo's Hyderabad office, focusing on building clean data pipelines and models using SQL, Snowflake, and Looker to serve 1500+ business users. The role requires 6+ years of analytics engineering experience and involves working closely with data scientists and product teams to optimize data accessibility and BI tool adoption.

What you'll do

Data Pipeline Development: Build and maintain clean, tested, well-documented data transformation pipelines using SQL

Data Modeling: Design and implement data models that meet downstream requirements for data scientists and business users

Looker Administration: Manage and optimize Looker BI tool for 1500+ active users, ensuring data accessibility and usability

Cross-functional Collaboration: Work with product engineering teams to ensure source data modeling meets analytical requirements

Data Quality Assurance: Implement testing frameworks and documentation standards for data reliability

Performance Optimization: Optimize data warehouse queries and BI tool performance for scalable analytics

Mentorship and Review: Advise and review data scientists on data modeling best practices and methodologies

Data Product Strategy: Drive adoption and optimization of Looker as a key data product across the organization

What we look for

Technical

Analytics Engineering Experience6+ years in Analytics Engineering, BI Engineering, or Data Engineering roles

Advanced SQL SkillsExpert-level proficiency in SQL for complex data transformation and analysis

Data Warehousing ExpertiseDeep understanding of data warehousing concepts, modeling, and table structuring

Cloud MPP PlatformsHands-on experience with cloud-based MPP data warehouses like Snowflake, BigQuery, or Redshift

Education

Bachelor's DegreeDegree in Computer Science, Data Science, Mathematics, Statistics, or related technical field preferred

Experience

Senior-Level Experience6+ years of progressive experience in analytics engineering or related data roles

BI Tool Development2+ years developing in business intelligence tools like Looker or similar platforms (preferred)

Advertising DomainExperience working within the ads/advertising technology domain (nice to have)

Skills

Required skills

SQL ExpertiseAdvanced proficiency in SQL for data transformation, analysis, and warehouse operations

Data WarehousingDeep understanding of data warehouse architecture, modeling concepts, and table design

Cloud Data PlatformsExperience with cloud-based MPP warehouses like Snowflake, BigQuery, or Redshift

Analytics Engineering6+ years of hands-on experience in analytics engineering, BI engineering, or data engineering

Nice to have

Looker Development2+ years of experience developing and administering Looker or similar BI tools

Version ControlPractical understanding of Git and collaborative development workflows

ETL/ELT ProcessesKnowledge of data pipeline processes and DAG management for script dependencies

Python ProgrammingCoding skills in Python for automation, integrations, and data processing

Looker APIExperience with Looker API for programmatic integrations and automation

Advertising DomainExperience working within advertising technology and ad-tech ecosystems

Compensation & benefits

Benefits

Health Benefits

Comprehensive health and wellness programs

Family Support

Family-friendly policies and parental leave options

Financial Benefits

Competitive financial packages and benefits

Community Programs

Community engagement and social impact initiatives

Convenience Perks

Various convenience benefits for work-life balance

Professional Growth

Career development opportunities and learning programs

Relocation Support

Assistance with relocation and international assignments

Hybrid Work

Flexible hybrid working arrangements combining office and remote work

Interview process

1
Initial Screening — Phone or video call with recruiter to discuss background and role alignment
2
Technical Assessment — SQL-focused technical evaluation covering data modeling and transformation scenarios
3
System Design Interview — Discussion of data architecture, warehousing concepts, and analytics pipeline design
4
Behavioral Interview — Cultural fit assessment with hiring manager focusing on collaboration and impact
5
Final Round — Panel interview with team members and stakeholders to discuss role expectations and team dynamics