Senior Data Platform Engineer 

We’re seeking a talented and experienced Data Engineer to join our client’s team – a leading European investment company specializing in real assets, with a focus on sustainable and renewable energy projects. The company manages a diversified portfolio across infrastructure, energy efficiency, and environmentally responsible investments in Europe and beyond. 
   This Data Engineer will design, build, and operate the core components of a modern data platform. The role focuses on developing reliable ingestion and event-stream pipelines, implementing scalable ETL and transformation flows, and engineering a performant Snowflake environment. The engineer will ensure secure, automated, and well-governed deployments using Terraform and DevOps practices, while supporting production SLAs and delivering clean, trusted data for analytics, products, and reporting across the organization.

Requirements:

• Build and maintain Kafka event-driven integrations, including designing topics, managing event patterns, and ensuring reliable ingestion across distributed systems 
• Design and implement Azure Data Factory pipelines to orchestrate data ingestion and movement across environments 
• Develop end-to-end ETL workflows: ingest and process data using Python, transform datasets using DBT and Data Vault modeling, and load optimized structures into Snowflake 
• Create and maintain DBT models, semantic layers, and Data Vault structures to support scalable analytics 
• Optimize SQL queries and Snowflake performance, including warehouse tuning, clustering, and cost-efficient resource management 
• Provision and manage infrastructure using Terraform, maintaining Infrastructure-as-Code best practices 
• Maintain CI/CD pipelines in Azure DevOps or GitHub Actions, ensuring smooth production deployments and controlled releases 
• Configure basic networking elements such as private links, firewall rules, and secure access patterns for data workloads; collaborate with security teams to manage secrets, tokens, and governed environments 
• Work with distributed architectures and production ETL patterns, ensuring reliability, observability, and operational excellence 
• Produce and maintain documentation, including data lineage, model definitions, runbooks, and incident playbooks to support governed, compliant environments 
• Excellent communication skills in English (German is a plus) 

Responsibilities: 

• Build, run and maintain Kafka integrations and topics for event ingestion 
• Design & implement Azure Data Factory pipelines for data ingestion 
• Implement end-to-end ETL flows: ingestion → processing (Python) → transform (DBT) → load into Snowflake 
• Develop DBT models and Data Vault layers for stable semantic layers 
• Optimize SQL and Snowflake performance; manage warehouses, clustering, resource usage 
• Apply Terraform for infra provisioning and manage IaC state 
• Maintain CI/CD pipelines and manage production releases 
• Configure basic networking, private link / firewall access for data workloads; manage secrets and tokens with security team 
• Ensure documentation: data lineage, model definitions, runbooks, and run/incident playbooks 

We offer:

• Competitive salary with regular review 
• Vacation (up to 20 working days) 
• Paid sick leave (10 working days) 
• National Holidays as paid time off (11 days) 
• Online English courses 
• Accountant assistance and legal support 
• Flexible working schedule, remote, office-based or hybrid format 
• Direct cooperation with the customer 
• Dynamic environment with low level of bureaucracy and great team spirit 
• Challenging projects in diverse business domains and a variety of tech stacks 
• Communication with Top/Senior-level specialists to strengthen your hard skills 
• Online teambuildings 
• Volunteering for culture development and support.