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 Data Products team. At Atolls, your role will be instrumental in helping us shape the future of internal data products, creating exceptional user experiences and empowering consumers to make informed and confident shopping decisions. As a key part of our team, you’ll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys.

Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices.

Benefits

: At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect: A culture that values personal and professional development, with internal mobility opportunities. A supportive and open-minded team that embraces diverse perspectives and innovative ideas.

32 days of paid vacation plus your birthday off, giving you the time you need to recharge. A flexible hybrid working scheme to balance work and life. Access to a learning budget and internal training to help you grow in your role.

Mental health coaching to support your well-being. Regular global and local get-togethers to celebrate successes and build connections. The possibility of taking a sabbatical after three years with the company.

A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.

that apply to all employees, with additional local

Perks

based on your location.

Responsibilities

: In this role, you will: Design, Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability using Python, Spark, and Clickhouse. Develop and operate workflow orchestration with Apache Airflow to schedule, monitor, and manage data pipelines and transformations. Manage, model and document critical data systems for analytics using SQL and dbt to support business intelligence and reporting workloads.

, Terraform) to provision and manage cloud-based data platform components. Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm).

Requirements

into technical designs and delivered solutions. Your Profile: We’re looking for someone with data engineering experience, who is dedicated to creating exceptional user experiences and driving innovation. Must have: 4+ years building and running production data pipelines.

Python - strong, idiomatic, tested. You write pipelines that other people can read and easily debug. SQL - advanced.

Window functions, CTEs, query plans, and the instinct to know why a query got slow. Data modeling & warehousing - dimensional modeling, incremental vs. full-refresh strategies, slowly changing dimensions, and the trade-offs between them.

dbt - building, testing, and documenting models in a real project. Apache Airflow - authoring DAGs, plus the operational side: backfills, retries, SLAs, and debugging a failed run. AWS - hands-on experience with S3 and the surrounding data services (Athena, Kinesis, EKS, Lambda).

Docker & Kubernetes - you can containerize a job and understand what happens when a pod won't schedule. Git and CI/CD - branching, code review, and pipelines that gate merges.

Nice To Have

: Knowledge of ClickHouse or another columnar OLAP engine (BigQuery, Redshift) table engines