Senior Data Engineer (DBT, Airflow, Snowflake)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 111d ago
The date the source published, not the day we noticed it (2026-06-22). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 302.4k–399.8k/yr
Middle 50% of 37 listings that do state pay — Engineering · Senior · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 11h ago · last seen just now
The listing
We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation.
Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it.
We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others.
The Project:
As a Senior Data Engineer, you'll join a project for a US-based private investment firm — designing and implementing a data system that drives real investment decisions. You'll integrate data from multiple sources, build a robust data warehouse, and create the pipelines that power machine learning and data-driven decision-making.
The ideal candidate will be well organized, eager to constantly improve and learn, driven and, most of all - a team player!
Your responsibilities will include:
- Modeling datasets and schemes for consistency and easy access,
- Design and implement data transformations and data marts,
- Integrating third-party systems and external data sources into data warehouse,
- Building data flows for fetching, aggregation and data modeling using batch pipelines.
Requirements
What's important for us?
- At least 5 years of professional experience as a data engineer,
- Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar,
- Excellent command in spoken and written English, at least C1,
- Strong professional experience with Python and SQL,
- Hands on experience on DBT and Snowflake,
- Experience in building data pipelines with Airflow (DAGs),
- Expertise in AWS stack (S3),
- Strong understanding of various data modeling techniques like Kimball Star Schema,
- Great analytical skills and attention to detail - asking questions and proactively searching for answers,
- Creative problem-solving skills,
- Great customer service and troubleshooting skills.
You will score extra points for:
- Experience with infrastructure-as-code tools, like Terraform,
- Good understanding of Docker,
- DevOps skills to automate deployment and streamline development,
Benefits
What do we offer?
- Working alongside a talented team that’s changing the image of Poland abroad.
- Flexible working hours and remote work possibility.
- Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs).
- Fully equipped kitchen with fruit, hot and cold drinks.
- Culture of good feedback: evaluation meetings, mentoring.
- We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!
Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!
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