
51 - 200 employees
Founded 2010
π€ Artificial Intelligence
π₯ Healthcare
πΈ Finance
Artificial Intelligence β’ Healthcare β’ Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model β strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
π₯ 3 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2010
π€ Artificial Intelligence
π₯ Healthcare
πΈ Finance
Artificial Intelligence β’ Healthcare β’ Finance
Vecten is an AI-native data and technology partner that builds proprietary data infrastructure and AI systems for private capital (venture capital and private equity) and healthcare & life sciences. It offers a full-stack delivery model β strategy workshops (Vecten Compass), an AI-native data platform deployed in client clouds (Vecten Core), an edge intelligence layer with ML models, LLM workflows and AI agents (Vecten Edge), and continuous operations with forward-deployed engineers and domain-specific AI agents (Vecten Drive). Vecten emphasizes compliant, production-ready systems (including HIPAA-aligned solutions for healthcare), measurable business outcomes, and long-term engineering partnerships; its clients collectively manage $1. 2T+ in assets and the company highlights ~15 years of engineering depth.
β’ Modeling datasets and schemes for consistency and easy access, β’ Design and implement data transformations and data marts, β’ Integrating third-party systems and external data sources into data warehouse, β’ Building data flows for fetching, aggregation and data modeling using batch pipelines.
β’ At least 5 years of professional experience as a data engineer, β’ Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar, β’ Excellent command in spoken and written English, at least C1, β’ Strong professional experience with Python and SQL, β’ Hands on experience on DBT and Snowflake, β’ Experience in building data pipelines with Airflow (DAGs), β’ Expertise in AWS stack (S3), β’ Strong understanding of various data modeling techniques like Kimball Star Schema, β’ Great analytical skills and attention to detail - asking questions and proactively searching for answers, β’ Creative problem-solving skills, β’ Great customer service and troubleshooting skills. β’ You will score extra points for: β’ Experience with infrastructure-as-code tools, like Terraform, β’ Good understanding of Docker, β’ DevOps skills to automate deployment and streamline development,
β’ Working alongside a talented team thatβs changing the image of Poland abroad. β’ Flexible working hours and remote work possibility. β’ Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs). β’ Fully equipped kitchen with fruit, hot and cold drinks. β’ Culture of good feedback: evaluation meetings, mentoring. β’ We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!
Apply Nowπ₯ 2 hours ago
Senior Data Architect designing and building data architecture to support GTM strategies. Innovating with Microsoft technology stack in collaboration with business stakeholders across various industries.
Azure
ETL
π 3 days ago
Senior Data Engineer responsible for data pipelines and database performance at CreatorIQ. Collaborate with engineering teams to support scalable, secure data operations in AWS environments.
Airflow
Amazon Redshift
AWS
Cloud
DynamoDB
ETL
Python
SQL
π 6 days ago
Data Platform Architect responsible for the architecture and delivery of Auditdata's Azure-based data platform. Consolidating data across multiple products for group-wide reporting and analytics.
π΅π± Poland β Remote
π° Venture Round on 2016-07
β° Full Time
π Senior
π΄ Lead
π° Data Engineer
Azure
ETL
SQL
Vault
π 6 days ago
Data Platform Architect overseeing architecture, delivery, and governance of Azure data platforms at Auditdata. Focused on consolidating data across products for insightful analytics and reporting.
π΅π± Poland β Remote
π° Venture Round on 2016-07
β° Full Time
π Senior
π΄ Lead
π° Data Engineer
Azure
ETL
SQL
Vault
π July 20
Data Engineer handling large volumes of data for a major e-commerce platform. Collaborating with data teams to enhance analytics and optimize data processing.
π΅π± Poland β Remote
π΅ zΕ20k - zΕ25k / month
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
Airflow
Apache
BigQuery
Cloud
Google Cloud Platform
Python
SQL