At a glanceSummarised by Seekless from the posting.
Must have11
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
Nice to have3
Experience with infrastructure-as-code tools, like Terraform
Good understanding of Docker
DevOps skills to automate deployment and streamline development
Eligibility1
Data processing consent for recruitment purposes
Skills
Python
SQL
DBT
Snowflake
Airflow
AWS
S3
Terraform
Docker
Benefits
Flexible hours
Remote work
Office amenities
Professional development
About the company
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:
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Modeling datasets and schemes for consistency and easy access,
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Design and implement data transformations and data marts,
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Integrating third-party systems and external data sources into data warehouse,
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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?
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Working alongside a talented team that’s changing the image of Poland abroad.
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Flexible working hours and remote work possibility.
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Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs).
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Fully equipped kitchen with fruit, hot and cold drinks.
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Culture of good feedback: evaluation meetings, mentoring.
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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!
Legal
The controller of the data contained in your application is Sunscrapers Sp. z o.o., operating under the Vecten brand, ul. Tadeusza Czackiego 15/17, 00-043 Warsaw, Poland, NIP 1182116268. We process your data in order to assess your application for the role you are applying for. You have the right to access, rectify, erase and restrict the processing of your data, and the right to lodge a complaint with the President of the Polish Data Protection Authority. For data protection matters write to [email protected]. Full information, including the legal bases, recipients and retention periods, is set out in our Privacy Policy