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 not only understand but you can also 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.
You support our data-driven community of over 100 employees in the ongoing development of data intelligence & analytics topics.

You are a highly skilled Data Engineer with deep expertise in Microsoft technologies and able to lead the design, implementation, and optimization of enterprise level data solutions end-to-end.
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).
Strong experience with SQL Server, PostgreSQL, MySQL, NoSQL (CosmosDB, MongoDB, Cassandra).
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.
Advanced written, verbal, and interpersonal communication skills in English; German language skills would be a plus (minimum B1 level).
You enjoy traveling occasionally.

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: We provide tailored vacation days, that will be increased every year (max. 30 days) based on your seniority within the company, as well as flexible working hours.
Private Health Insurance: You are important to us; such is 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.

Senior Data Engineer

Key skills