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 ®
