Data Engineer

🎯 Atlys’ mission is to enable every person on earth to travel freely.

At Atlys, we’re building the infrastructure that makes international travel seamless, driven by a clear vision to remove friction and uncertainty from global travel. Today, visas and travel documentation remain some of the most frustrating, time-consuming, and unpredictable parts of the journey. Our goal is to solve this through technology, making global travel faster, simpler, and far more predictable.

Building the future of global mobility is one of the most exciting opportunities of this decade, and we’re only getting started.

We are looking for a Data Engineer to structure and unify data across sources, ensuring high-quality, well-governed pipelines and a robust analytics data warehouse. You’ll work closely with product, SDE, and data teams to power ML-driven insights and enable accurate, segmentation-led decision making.

The Job

• Designing and structuring database schemas across multiple data sources for consistency and performance.

• Building and maintaining ETL/ELT pipelines to ingest data from internal systems and external sources (e.g., ad platforms).

• Ensuring data quality, governance, and reliability across all pipelines.

• Owning and optimizing the analytics data warehouse for both new and existing data workflows.

• Collaborating with data and engineering teams to enable ML-driven use cases such as user segmentation and insights.

The Ideal Candidate

• Experience with Python and FastAPI is a must (can be any other BE framework or language too i.e. GoLang, NodeJS).

• You need to be an SQL nerd, basically know everything around DML and DDL, how OLTP or OLAP works.

• 1-3 Years of experience building Data Pipelines, ETL, and DBA.

• A fundamental understanding of LLMs is good to have.

• Experience with Postgres and clickhouse is preferred.

• More than anything, you need to be a little bit passionate about how Data works, and how to utilize it for better decision-making, wherein your role would be more around the ingestion of that data.

What the hiring journey looks like

• First up: If your profile looks like a strong fit, our People team will reach out within 7 days for a quick intro chat.

• Next up: You’ll speak with the hiring manager and a peer (order may change depending on calendars, we like to keep things fast and flexible).

• Finally: If it feels like a strong mutual fit, we move fast and get you started at Atlys.

We keep communication transparent and timelines quick. If things don’t work out, we’ll always close the loop over email, and you’re welcome to apply again in the future :)