Senior Data Engineer at Wavestone focused on Microsoft technologies in a hybrid role. Leading data architecture, team collaboration, and scalable solutions for clients.
Responsibilities
Your work includes the conception, implementation and review of data intelligence requirements.
You keep an eye on the entire Microsoft architecture for our customers, from the enterprise platform to analysis and reporting.
You understand and coach data modeling, indexing, partitioning, and query optimization.
You provide technical leadership, mentoring, and best practices for data engineers and development teams.
Collaborate with cross-functional teams, including data scientists, analysts, and developers, to provide scalable data solutions.
Evaluate and recommend new tools, technologies, and methodologies for continuous improvement in data engineering.
Support our data-driven community of over 100 employees in the ongoing development of data intelligence & analytics topics.
Requirements
5+ years of experience as a Data Engineer, with a focus on Microsoft technologies.
Deep expertise in Azure Data Platform (Fabric, Synapse, Data Factory, Databricks, ADLS, Purview).
Expertise in ETL/ELT tools and processes, including Azure Data Factory, SSIS, Glue, dbt.
Strong programming skills in Python, SQL, Scala, PowerShell.
Hands-on experience with big data processing frameworks such as Apache Spark.
Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.).
Proficiency in Power BI for data visualization and analytics (PL-300 certification would be a plus).
Experience with DevOps and CI/CD practices for data engineering workflows.
Strong analytical, technical coaching, problem-solving, and communication skills.
Microsoft Certifications (e.g., Azure Solutions Architect) are highly desirable.
Advanced written, verbal, and interpersonal communication skills in English; German language skills would be a plus (minimum B1 level).
Benefits
Career model: For us, a career that is individually tailored to your needs means individual development opportunities in line with your vision and at your pace.
Continuing education: Let's grow together! Stay up to date with over 200 training days per year in our Academy, or continue your education through certification courses or a part-time Master or MBA.
German classes: We encourage you to learn a new language, as it will be useful for you in your career development.
Leadership culture: Respect, appreciation, and the highest level of expertise are the key elements of our "Coaching & Leading" leadership model.
Mobile Work: Flexible, mobile working is part of our DNA.
Me-Time: Tailored vacation days, that will be increased every year (max. 30 days) based on your seniority within the company.
Private Health Insurance: We provide you with the appropriate framework that covers the essential health benefits needed to maintain your health.
Multi-benefits Platform: You have the option to decide how to spend funds allocated for monthly benefits depending on your needs.
Mindfulness & Health: The Mindfulness Community offers mindfulness training and regular exchange.
Events: Numerous events for networking and celebrating are simply part of our Wavestone life.
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.