Senior Data Engineer

About Us

Contiamo is a premier consulting firm that brings together an interdisciplinary team of senior experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how.

We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges through intelligent data usage. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems.

At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork.

In the last years, Generative AI has become a core focus for us and we have delivered many high value projects using cutting edge developments for our customers.

Besides Gen AI, our projects span a wide range of exciting data use-cases, including:

• Data and AI strategy
• Data architecture and cloud data warehouse setup
• Building data-intensive applications and algorithms
• Advanced data science and machine learning

About the Role

Were seeking a Senior Data Engineer who is passionate about designing robust data models and scalable data warehouses. In this role, you will collaborate closely with a variety of teams: Data Analysts, BI Developers, and other Engineers, to architect and implement high-quality data solutions that drive actionable insights.

What You'll Do

• Lead Development: Build and optimize data pipelines using SQL-centric development tools (dbt, SQLMesh, etc.) ensuring reliable, high-performance data transformations.
• Workflow Orchestration: Deploy complex data workflows using Airflow, Dagster, or other pipeline tooling because you know that well-managed workflows fuel timely, accurate insights.
• Ensure Quality: Evaluate and implement best practices for data warehouse design such as indexing and data quality protocols while implementing checks and validations to maintain trust and reliability across all data assets.
• Client Interaction: Collaborate with Data Analysts and other stakeholders to understand requirements and translate them into scalable, efficient data models.
• Comprehensive Documentation: Maintain comprehensive, clear, and well-structured documentation that equips clients with the knowledge and confidence to fully understand, manage, and ultimately take ownership of their solutions.

You Are a Good Fit If You

• Have a proven track record with data modeling and data engineering, ideally with a variety of warehouse architectures under your belt.
• Have deep expertise with dimensional modeling (Kimball methodologies) and are confident working with Data Vault. Bonus points if youre also familiar with Activity Schema and other cutting-edge modeling patterns.
• Like SQL enough that you even have a favorite dialect of SQL and know the ins and outs of a handful of database and data warehouses. You also know if or when to change directions and jump into Python or Spark.
• Are comfortable using modern data modeling tools such as dbt, SQLMesh, or similar frameworks to power reliable, maintainable transformations.
• Know your way around orchestration tools (Airflow, Dagster, etc.) for scheduling and managing complex data workflows in production.
• Understand the trade-offs of different storage and table partition approaches, ensuring that data models align with business needs for performance and usability.
• Thrive in a collaborative environment, love sharing knowledge, and are all about building the systems that help teams make better data-driven decisions.
• Have strong problem-solving abilities and the ability to work independently, take ownership of projects, and deliver high-quality results.
• Fit most of the above list and are ready to dive into the other items
• Currently live in Germany or you are considering a move. You must already have an EU work visa.

What We Offer

• A dynamic environment with the exciting opportunity to work across the entire software engineering spectrum.
• The chance to collaborate with talented teams in data science, AI, and big data.
• A role that demands not only technical proficiency but also strong problem-solving abilities and collaboration skills.
• The opportunity to tackle challenging data problems with cutting-edge technology.

If you're ready to trade in brute-force scripts for elegant,