Careers

Join our team as a Senior Cloud Architect to design production-ready data platforms on Azure. You'll work with clients to build scalable, secure architectures that enable AI and analytics at enterprise scale.

What you'll do:

• Design and architect enterprise Azure cloud solutions for data platforms and Databricks implementations
• Lead Infrastructure as Code initiatives using Terraform for repeatable, scalable deployments
• Define architectural patterns for medallion architectures, Unity Catalog governance, and Delta Lake storage
• Guide technical decision-making on Azure services, security, networking, and compliance requirements
• Collaborate with stakeholders to translate business requirements into technical architecture
• Mentor engineering teams and establish best practices for cloud-native data solutions

Requirements:

• 7+ years of cloud architecture experience, with 5+ years focused on Azure
• Proven expertise in designing and implementing Azure data platforms (Azure Data Lake, Azure Synapse, Databricks)
• Strong experience with Terraform or other Infrastructure as Code tools
• Deep understanding of Azure networking, security, identity management (Azure AD, RBAC)
• Experience with Databricks, Unity Catalog, and Delta Lake architectures
• Knowledge of data governance, compliance frameworks (GDPR, SOC 2), and enterprise security patterns
• Azure certifications preferred (Azure Solutions Architect Expert or equivalent)

Salary Range:

€90,000 - €120,000 annually, depending on experience

We're looking for a motivated Junior Data Engineer to join our growing team. You'll work on real client projects building data pipelines and platforms while developing your skills in modern data engineering technologies.

What you'll do:

• Build and maintain ETL/ELT data pipelines using Python, Spark, and Databricks
• Implement medallion architecture patterns (Bronze, Silver, Gold layers) in Delta Lake
• Work with streaming and batch data from various sources (databases, APIs, files)
• Apply data quality checks and validation rules using Delta Live Tables
• Collaborate with senior engineers to learn best practices in data modeling and DataOps
• Participate in code reviews and contribute to team knowledge sharing

Requirements:

• 1-2 years of experience in data engineering, software development, or related field
• Solid foundation in Python and SQL
• Basic understanding of cloud platforms (preferably Azure)
• Familiarity with data engineering concepts (ETL, data warehousing, data modeling)
• Eager to learn Databricks, Spark, and modern data stack technologies
• Strong problem-solving skills and attention to detail
• Good communication skills and team player mentality

Nice to have:

• Experience with Databricks or Apache Spark
• Knowledge of version control (Git) and CI/CD practices
• Understanding of data governance and quality frameworks

Salary Range:

€55,000 - €70,000 annually, depending on experience

Join our ML team to design and implement production-grade machine learning systems. You'll work with Databricks, MLflow, and modern ML frameworks to deliver AI solutions that create real business value.

What you'll do:

• Design, develop, and deploy ML models on Databricks platform using MLflow for experiment tracking and model registry
• Implement MLOps pipelines for model training, validation, deployment, and monitoring
• Work with Feature Store to create and manage reusable features for ML applications
• Build LLM applications using vector search, retrieval-augmented generation (RAG), and fine-tuning techniques
• Optimize model performance for production environments and ensure scalability
• Collaborate with data engineers to integrate ML models into data pipelines
• Stay current with ML advances and evaluate new techniques for client projects

Requirements:

• 3-5 years of experience in machine learning engineering or data science with production ML focus
• Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Hands-on experience with MLflow, model deployment, and ML lifecycle management
• Understanding of MLOps principles, CI/CD for ML, and model monitoring
• Experience with cloud ML platforms (Azure ML, Databricks ML, or similar)
• Knowledge of deep learning, NLP, computer vision, or time series forecasting
• Familiarity with distributed computing frameworks (Spark) for large-scale ML

Nice to have:

• Experience with LLMs, prompt engineering, and RAG architectures
• Knowledge of Databricks Vector Search and AI/BI capabilities
• Understanding of data governance and responsible AI practices

Salary Range:

€75,000 - €95,000 annually, depending on experience

We're seeking an experienced Data Engineer to build production-ready data platforms for our enterprise clients. You'll work with the modern data stack on Azure and Databricks to deliver scalable, governed solutions.

What you'll do:

• Design and implement data pipelines and medallion architectures (Bronze, Silver, Gold) using Databricks and Delta Lake
• Build streaming and batch data ingestion processes using Spark, Delta Live Tables, and Azure services
• Implement Unity Catalog for centralized governance, access control, and data lineage
• Develop data quality frameworks with validation rules, monitoring, and alerting
• Optimize data processing performance and cost efficiency in cloud environments
• Work with Infrastructure as Code (Terraform) for reproducible platform deployments
• Collaborate with architects and ML engineers to enable analytics and AI use cases
• Mentor junior engineers and contribute to technical standards and documentation

Requirements:

• 3-5 years of experience in data engineering with production data platform experience
• Strong Python and SQL skills with focus on data transformation and processing
• Hands-on experience with Azure cloud services (Azure Data Lake, Azure Functions, Event Hubs)
• Proficiency with Databricks, Apache Spark, and Delta Lake
• Experience implementing data quality, testing, and monitoring practices
• Understanding of data modeling, dimensional modeling, and data warehouse concepts
• Knowledge of DataOps, CI/CD for data pipelines, and version control (Git)

Nice to have:

• Experience with Unity Catalog and data governance frameworks
• Knowledge of Terraform or other Infrastructure as Code tools
• Databricks certifications or Azure Data Engineer certification
• Experience with real-time streaming architectures (Kafka, Event Hubs)

Salary Range:

€70,000 - €90,000 annually, depending on experience