Data Engineer, Atolls

• We’re looking for someone with data engineering experience, who is dedicated to creating exceptional user experiences and driving innovation
• 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
• Attention to detail - You care about correctness and you build the checks that prove it. In data engineering, a silently wrong number is worse than a loud failure
• Ownership - you run what you build, and you improve it when needed
• Clear communication - you can effectively explain in a pipeline to an analyst and a trade-off to a stakeholder
• Pragmatism - you can tell the difference between the right long-term design and the short-term solution, and you know when each one applies
• Collaboration - you work well with data engineers, analysts, and other product and backend teams
• English - fluent, written and spoken

Desirable

• 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
• 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
• Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components
• Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)
• Collaborate with analysts, application teams and other stakeholders to turn requirements into technical designs and delivered solutions

• We review every application with equal care and will reach out if your profile aligns. Apply now with your CV in English
• Portfolios, writing samples, or certifications may be requested based on the role
• TA Call: Meet one of our Talent Experts and get to know Atolls better
• Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager
• Final Round: Meet other Atollians 🏝️
• It varies from 1 to 3 interviews