Step into a team where cutting-edge Data & AI meets real business impact. No fluff, just solutions that matter at scale.
You’ll work with top-tier tech (Azure, Databricks, ML) alongside people who genuinely support, challenge, and inspire each other.
If you’re looking for ownership, growth, and meaningful projects -> this is where it clicks!
What makes you a great fit?
Key technologies
Python | Azure | Databricks | ML
- Proficiency in Python 3+ years (for data science and machine learning development).
- Hands-on experience with Azure services and Databricks platform.
- Strong knowledge of machine learning algorithms and modeling techniques.
- Familiarity with MLOps practices, including MLflow for experiment tracking and model management.
Nice to have
- Experience with Spark/PySpark and understanding of distributed data processing.
- Exposure to large language models (LLMs) and their practical applications.
- Familiarity with Azure AI Services (e.g. Document Intelligence, Azure OpenAI, Azure AI Search)
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?
- Analyze large, complex datasets to identify trends, patterns, and actionable insights
- Design, develop, and deploy machine learning models for regression, classification, clustering, and time series forecasting.
- Collaborate with data scientists and engineers to optimize model performance and scalability.
- Ensure robust deployment strategies for ML models on Azure cloud environments.
- Manage and utilize Azure Databricks Feature Store, MLflow and Asset Bundles for efficient model lifecycle management.
Our benefits
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.