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Data Engineer for Data-driven solutions development Join to apply for the Data Engineer for Data-driven solutions development role at 4flow . We're looking for a talented Data Engineer to join our growing team and contribute to the development of data-driven software solutions. You'll leverage your expertise in ETL pipelines and MLOps to identify opportunities, design solutions, and translate them into real-world applications. What Your New Challenge Will Look Like Partner with stakeholders across the organization to understand business needs and translate them into technical requirements. Implement and optimize data pipelines, ensuring data quality and integrity. Be part of the development of a new solution powered by genAI technology (This may involve working with software engineers or coding yourself depending on the project). Continuously monitor and evaluate the performance of solutions and applications to ensure effectiveness. Communicate complex technical concepts to both technical and non-technical audiences. Collaborate with Data Scientists to design and build scalable and efficient data architectures. Automate data workflows and support the maintenance of existing data infrastructure. Why you belong at 4flow You have a good university degree in Computer Engineering, Statistics, Computer Science, or a related field (or equivalent experience). Development and support of real-time data ingestion processes from various data sources. Provide support in requirements definition, estimation, development, and delivery of robust and scalable solutions. You know how to create pipelines and deploy applications using cloud platforms such as Azure, AWS and GCP. You have practical experience in Python as well as with SQL or NoSQL and Docker. Experience with ETL tools and data integration frameworks. DevOps: Good understanding of how to implement DevOps and CI/CD. MLOps: Support Data Scientists in tasks to scale and automate machine learning projects. Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery. APIs and Integration: Familiarity with creating and consuming APIs for data integration. Version Control: Strong understanding of version control systems, particularly Git. You communicate confidently in English. Bonus points for: Experience being part of software development projects. Knowledge of data visualization tools such as Tableau, Power BI, or similar. Familiarity with big data technologies like Hadoop, Spark or Kafka. Experience with container orchestration tools like Kubernetes. Understanding of data governance and data security best practices. Experience with a specific domain relevant to our industry (please specify in your cover letter). What We Offer Caju multi-benefit card. Fuel or transportation allowance. Comprehensive health and dental plans fully covered for employees and dependents. Life insurance. Comprehensive well-being initiatives, including Wellhub, our Employee Assistance Program for mental health, and dedicated committees for health and well-being. Outstanding opportunities for your individual development (e.g., individual learning budget, access to LinkedIn Learning and internal training program). Hybrid working model for flexibility and work-life balance. And there is more Exciting international projects as well as rapid career development and personal development planning. Company with German roots that offers a clearly defined vision and job security. Team events and company getaways. Free fruit, snacks, drinks, and coffee at the office. Permanent position (CLT). Seniority level Entry level Employment type Full-time Job function Information Technology Industries Transportation, Logistics, Supply Chain and Storage #J-18808-Ljbffr
