Data Engineer for Data-driven solutions development

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 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)