Snowflake Lead Data Engineer - Data & AI

Do you enjoy working on the most innovative data solutions of the future? Then Cegeka has the challenge for you! Within our Data & AI team at Cegeka, we are looking for a Lead Data Engineer Snowflake. As an expert in Snowflake, you will play a crucial role in one of our exciting Snowflake projects. We follow a “Public Cloud First” strategy and have established partnerships with Snowflake, Microsoft, and Databricks. Are you ready to join our team of specialists? Apply now and let your talent and experience contribute to our mission!

• As a Lead Data Engineer Snowflake, you will work closely with colleagues on Data and AI projects for companies across various sectors. Given your seniority, you are expected to take the lead in these projects.
• As a Lead Data Engineer, you help our clients build scalable data platforms and work on projects in diverse industries, each with their own unique challenges.
• Together with the team, you develop ETL flows needed to extract data from source systems, transform it according to predefined business logic, and integrate it into the central data warehouse or make it available on the central data platform.
• Data quality and the robustness of ETL processes are of great importance.
• As a Lead Data Engineer, you will also act as a specialist in client conversations to arrive at the best data solutions.
• You translate functional and technical requirements into the data solutions of the future.
• With your coaching style, you elevate other project members to a higher level.
• You enable our clients to fully leverage the vast potential of data—your persuasiveness and passion are key assets here.
• You continuously invest in your technological skills by obtaining and maintaining certifications.
• Cegeka is a Snowflake partner, giving you direct access to their solution architects for technical challenges or specific questions.
• You’ll join a close-knit, driven, and passionate team where working together is both productive and enjoyable—we even have our own Data & AI fun team!

• You have extensive experience in Data & AI-related roles, preferably as a Data Engineer or in a hands-on position within complex enterprise environments.
• You work daily with Snowflake and are familiar with open table formats such as Iceberg tables. You understand how to leverage open catalog integrations for consistent metadata management and governance.
• You are experienced with multi-cloud environments (Azure, AWS) and know how to efficiently configure and integrate cloud resources with Snowflake.
• You have hands-on experience with data integration tools such as Snowflake OpenFlow or Apache NiFi, enabling you to efficiently manage complex data flows.
• You develop and maintain robust, scalable data pipelines using tools like dbt and Apache Airflow for workflow orchestration, with a strong focus on automation and reusability.
• You are practical and actively contribute to setting up and expanding data platform frameworks and reference architectures within a cloud-native environment.
• You work according to data mesh principles and support domain teams in building autonomous data products within a self-service infrastructure.
• You have a solid technical background in data modeling (Data Vault, Kimball) and know how to apply these models in a practical, scalable, and maintainable way in production environments.
• You have strong problem-solving skills and can quickly tackle complex technical challenges.
• You are a team player with excellent communication skills and can collaborate effectively with colleagues and clients.
• You have a passion for continuous self-development and stay up to date with the latest innovations. Snowflake certifications are a plus.
• With your strong organizational skills, you can manage multiple tasks simultaneously and deliver high-quality work within tight deadlines.