Databricks ML Engineer
We are a dynamic team focused on building scalable and secure machine learning solutions in cloud environments. Our projects involve designing and deploying end-to-end MLOps pipelines and automated CI/CD processes using Databricks and Azure services. We leverage cutting-edge technologies such as MLflow, Feature Store and Terraform to deliver robust, production-ready ML solutions.
What makes you a great fit?
Key technologies
Python | ML | Databricks | Spark/PySpark
Proficiency in Python (3+ years) for ML models development and automation.
Deep expertise in the Databricks platform (Unity Catalog, Feature Store, MLflow, Declarative Automation Bundles)
Solid understanding of MLOps practices e.g.: experiment tracking, model registry, deployment patterns and A/B testing.
Experience with Spark/PySpark and distributed data processing on Databricks.
Nice to have
Exposure to LLMOps and operationalizing large language models (LLMs), including RAG architectures, vector databases, and Databricks Mosaic AI.
Familiarity with Azure AI Services (Azure OpenAI, AI Search, Document Intelligence).
Soft skills
Analytical Thinking
Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.
Problem-Solving Skills
Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.
Effective Communication
Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.
Attention to Detail
Meticulous in data validation, report generation, and ensuring data quality across BI platforms.
Team Collaboration
Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.
Adaptability and Continuous Learning
Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.
What will you do?
Design and implement end-to-end MLOps frameworks on Azure Databricks for standardized model lifecycle management.
Architect secure, scalable, and cost-efficient ML platform to support ML model development, deployment, and monitoring.
Collaborate with data scientists, ML engineers, and data engineers to streamline workflows from experimentation to production.
Keep up with the latest updates in Databricks, MLOps tooling, and Azure technologies.
What do we offer?
Growth That Matters
Clear development paths, access to certifications, and opportunities to work closely with leading technology partners such as Microsoft, Databricks, and Snowflake.
Knowledge Sharing & Real Impact
Work alongside top industry professionals, exchange ideas, and contribute to meaningful Data & AI projects where your voice truly matters.
Individual Development Budget
Choose the conferences, trainings, and certifications that best support your professional growth and career goals.
Hardware of Your Choice
Work with the equipment and tools that help you perform at your best.
Flexible & Remote-First Work
Enjoy flexible working hours and the freedom to work remotely from anywhere in Poland while maintaining a healthy work-life balance.
Supportive Leadership
Count on regular feedback, mentorship, and direct support from experienced leaders whenever you need it.
Project Bonuses
We celebrate success together. Receive additional bonuses for outstanding project achievements and contributions.
Social Events & Team Activities
Join team gatherings, integration events, and sports initiatives that help us stay connected beyond projects.
Private Healthcare
Your well-being matters to us. Benefit from comprehensive private medical care.
Modern Office Space
Work from our comfortable and well-equipped office located in a great Warsaw location whenever you feel like meeting the team in person.
Relaxed Atmosphere
Enjoy a flat organizational structure, no dress code, and a collaborative environment built by talented, down-to-earth people.
Employee Referral Program
Help us grow our team and earn up to 6000 PLN for successful employee referrals.
Your journey with us starts here:
1. Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion!
2. Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise.
3. Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.
Databricks ML Engineer
Databricks ML Engineer