Senior Software Engineer (Python/SQL/Data Engineering) (m/f/x)

Atolls; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Atolls is seeking a Data Engineer in Bangalore to design and scale data pipelines that enhance user decision-making. The ideal candidate will have 3–8 years of experience in Data Engineering, with strong skills in Python and SQL, and knowledge of cloud platforms like AWS. The role offers a chance to contribute to high-performance data solutions in a collaborative environment, aimed at impacting millions of users positively. Join us for an inclusive workplace focused on diversity and innovation.

Qualifications

• 3–8 years of experience in Data Engineering / Backend Engineering.
• Strong expertise in Python and SQL is mandatory.
• Experience with cloud platforms (AWS preferred, Azure or GCP acceptable).

Responsibilities

• Design, build, and maintain scalable data pipelines and backend systems.
• Write clean, efficient, and production-ready code using Python and SQL.
• Collaborate with engineering, product, and analytics teams.

Skills

Python

SQL

Cloud platforms (AWS preferred)

Data systems knowledge

Problem-solving skills

Communication skills

Tools

ClickHouse

Spark

Job description

Atolls is the world’s largest community-driven shopping platform, active in 20+ markets.

We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.

Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.

About This Role:

We are looking for a Data Engineer to join our team in Bangalore.

At Atolls, your role will be instrumental in building robust data systems that power our platform and enable smarter decision‑making for millions of users. You will work on designing and scaling data pipelines and backend systems that directly impact how users discover, evaluate, and interact with brands.

As part of the team, you will contribute to creating reliable, high‑performance data solutions that drive product innovation and business growth.

Responsibilities:

As a Data Engineer, you will:

• Design, build, and maintain scalable data pipelines and backend systems
• Write clean, efficient, and production‑ready code using Python and SQL
• Work with large datasets to ensure data reliability, performance, and scalability
• Collaborate with engineering, product, and analytics teams
• Optimize and improve existing data workflows and systems
• Contribute to system architecture and engineering best practices

Your Profile:

• 3–8 years of experience in Data Engineering / Backend Engineering
• Strong expertise in Python and SQL (mandatory)
• Experience with cloud platforms (AWS preferred; Azure/GCP acceptable)
• Solid understanding of data systems and scalable architectures
• Strong coding and problem‑solving skills
• Ability to work in a fast‑paced, product‑driven environment
• Strong communication skills and good English proficiency

Bonus Points:

• Experience with ClickHouse (highly preferred)
• Exposure to distributed systems and modern data architectures
• Experience with Spark (nice to have, not mandatory)

This role is strictly for Data Engineers (not Data Analysts or Data Scientists). We are looking for candidates with a strong engineering background and hands‑on coding experience.

Our Hiring Process:

• TA Call: Meet one of our Talent Experts
• Technical Round: Deep dive into technical skills
• Final Round: Meet the team

Process may vary depending on role requirements.

Ready to apply?

Be part of a destination where your work helps millions of people make better decisions every day.

One focused application is all we need. If you fit multiple roles, you’re welcome to apply to up to three.

Apply now with your CV in English.

At Atolls, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.