
1001 - 5000 employees
Founded 2015
📣 Marketing
📦 Logistics
✈️ Travel
Marketing • Logistics • Travel
Wavestone is a consulting firm that operates globally, providing strategic transformation services across various sectors and disciplines. They offer cutting-edge technology solutions with a focus on cybersecurity and sustainability. With more than 5,500 employees in 17 countries, Wavestone is committed to delivering holistic, end-to-end capabilities to their clients, ensuring seamless implementation and exceeding customer expectations. Their services span IT strategy, data and AI advisory, and regulation and risk management.
🔥 0 minutes ago
🗣️🇩🇪 German Required
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2015
📣 Marketing
📦 Logistics
✈️ Travel
Marketing • Logistics • Travel
Wavestone is a consulting firm that operates globally, providing strategic transformation services across various sectors and disciplines. They offer cutting-edge technology solutions with a focus on cybersecurity and sustainability. With more than 5,500 employees in 17 countries, Wavestone is committed to delivering holistic, end-to-end capabilities to their clients, ensuring seamless implementation and exceeding customer expectations. Their services span IT strategy, data and AI advisory, and regulation and risk management.
• Design and implement modern data platforms and data engineering solutions • Build data pipelines, lakehouse architectures, semantic data models, and data products for Analytics, AI, and GenAI use cases • Bridge Data Engineering and AI Engineering, focusing on RAG architectures, Conversational BI, AI-powered data products, and LLM-based applications • Develop and integrate AI agents and agentic components for pipeline development, data quality, automation, monitoring, and self-service analytics • Use Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to build scalable data and AI solutions • Design end-to-end architectures across the data lifecycle, including integration, transformation, governance, quality assurance, and consumption • Advise clients on technology selection, target architectures, migration strategies, platform modernization, and AI integration into data strategies • Own workstreams or projects and ensure pragmatic execution, technical excellence, and measurable client business value • Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio
• Proven professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting • Experience in consulting, delivery, or project-based environments preferred • Hands-on experience designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions • Strong proficiency in SQL and Python or PySpark • Practical experience with ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC) • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and Microsoft Power Platform • Understanding of modern data platforms for AI, Generative AI, and advanced analytics • Practical experience with LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps, or LLMOps highly desirable • Strong architectural mindset connecting business requirements, data platform capabilities, AI use cases, and operational considerations • Structured and pragmatic working style • Excellent communication and stakeholder management skills • Fluent German, minimum C1 level • English language skills • Willingness to travel to client locations as required
• Individual development opportunities through the PERSONAL GROWTH MODEL • Over 200 training days per year through the Academy • Certification courses • German classes • Coaching & Leading leadership culture • Flexible mobile working through the Mobile Work Policy • Tailored vacation days increasing annually with seniority, up to 30 days • Flexible working hours • Private health insurance • Monthly multi-benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions • Mindfulness training and regular community exchange • Networking and celebration events
Apply Now🕒 6 days ago
501 - 1000
Data Engineer building scalable data platforms for Chatham Financial, a capital-markets advisor using technology to reduce risk and seize opportunity. Developing pipelines, models, and cloud data solutions supporting analytics and client products.
Airflow
Azure
Cloud
Docker
ETL
Python
SDLC
SQL
Terraform
Vault
🕒 July 29
Senior Python Data Engineer developing and operationalizing solutions for AI-native products with a focus on data engineering in Romania. Collaborating with global teams and engaging in data visualization efforts.
Cloud
Python
React
SQL
Tableau
🕒 July 28
Data Engineer at dot.cards responsible for building data pipelines and analytics models. Collaborating across teams to drive outcomes through data activation.
SQL
🕒 July 27
Data Engineer developing multi-tenant Customer Data Platform for telecom operators. Working on data ingestion, transformation, and analytics in a cloud-native environment.
Apache
Kafka
Kubernetes
Python
Spark
SQL
🕒 July 17
Senior Data Engineer at Dreamix, designing production-grade data pipelines for enterprise clients. Collaborate on data engineering solutions using Databricks and modern data architectures.
AWS
Azure
Cloud
ETL
Kafka
Python
Spark
SQL
Unity