Senior Data Engineer

Senior Data Engineer | North Rhine-Westphalia | Hybrid | €100k~

AI Futures are supporting a search for a Senior Data Engineer. This is a rare opportunity to join a profitable and scaling business. The company is making major investments in data infrastructure, analytics, and AI to power its next phase of growth.

The Role:

As a Senior Data Engineer, you'll design and deliver advanced data solutions that support our client's business objectives. You will work with skilled data engineers and collaborate with cross-functional teams to ensure the seamless integration and optimization of our data systems.

Key Responsibilities

• Design, develop, test, and support data-driven solutions by providing the necessary technical expertise.
• Collaborate with cross-functional teams to translate business requirements into technical solutions, documenting gaps in alignment with architects.
• Create sophisticated reporting solutions that deliver compelling narratives and actionable insights, emphasizing performance, scalability, and the adoption of generative AI to enable intuitive self-service analytics.
• Improve data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to enhance efficiency and maintainability.
• Initiate and experiment with new ideas and approaches that support the Analytics and Insights strategy.
• Maintain and support data products, including on-call support and incident management, ensuring optimal long-term solutions by defining metrics and measurements.
• Build strong relationships with your team and stakeholders, working in an Agile manner with transparent communication.
• Collaborate on new data projects and initiatives early on, working across various technical teams and architects to drive these initiatives forward.
• Participate in proof of concept (POC) evaluations of tools and technologies, presenting findings to support leadership in decision-making.

Skills, Knowledge, and Experience

• Strong data engineering background, with expertise in building AWS cloud data pipelines, data warehouses, and self-service solutions.
• Strong SQL background with hands-on experience in complex query writing
• Experience with AWS services such as S3 and Redshift, focusing on data storage, computation, and security.
• Familiarity with BI tools like Power BI and AWS QuickSight.
• Knowledge of open-source data stack tools (e.g., Airflow, DBT, Airbyte).
• A solid understanding of software development best practices and CI/CD processes.
• Experience in performance tuning and optimization.
• Proficient in automation, testing, and CI/CD pipelines in data engineering.
• Exceptional communication skills with the ability to influence decision-making among all teams and stakeholders.

AI Futures Ltd | Filling the AI skills gap ®