Data Engineer ID 1952

About us:

Stafide is the premier destination for tech talent consulting providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment.

As a Data Engineer you will:

• Build productionready scalable Machine Learning Models & Systems.
  
• Maintain and improve ML pipelines and experimentation infrastructure focusing on scalability stability usability and performance.
  
• Ensure the quality of deliverables by designing and implementing unit and integration tests.
  
• Troubleshoot analyze and solve issues from tests and customer reports.
  
• Suggest improvements to technical solutions and working methods implementing them in alignment with your team.
  
• Participate in team knowledge sharing design reviews and technical reviews.
  
• Play a pivotal role in mentoring colleagues and sharing insights and best practices for operationalizing ML/AI models and solutions.
  

What You Bring to the Table:

• Approximately 5 years of experience in Python software development.
  
• Extensive experience in the Azure (and/or Databricks or similar) Data Stack.
  
• Proven expertise in integrating CI/CD practices.
  
• Experience with MLOps frameworks.
  
• Deep understanding of design and cloud patterns.
  
• Experience with data ingestion data storage data processing and data security principles at scale.
  
• Demonstrable engineering experience in a largely Open Source environment including technologies such as Kafka Hadoop ecosystems (HDFS Hive Impala) Git Jenkins Docker MLflow and Kubernetes.
  
• Solid communication and cooperation skills in Dutch and English with fluency in German being a plus.
  
• Willingness to undergo an indepth background screening.
  
• Possession of Azure or similar Associate Cloud Data Engineer Certification is a plus.
  

You should possess the ability to:

• Design and implement scalable and efficient machine learning models and systems.
  
• Develop and maintain robust ML pipelines with a focus on scalability reliability and performance.
  
• Implement and execute unit and integration tests to ensure the quality and stability of deliverables.
  
• Analyze and troubleshoot issues efficiently both proactively and reactively.
  
• Collaborate effectively with team members to suggest and implement improvements to technical solutions and workflows.
  
• Mentor colleagues and share expertise to foster the growth and development of the team.
  
• Communicate technical concepts effectively in both Dutch and English with the ability to convey complex ideas to diverse stakeholders.
  
• Adapt to evolving technologies and methodologies in the data engineering and machine learning landscape.
  

What We Bring to the Table:

• A collaborative and innovative workplace that encourages creativity and supports professional growth.
  
• Opportunities to lead and implement cuttingedge technology solutions in a robust environment.
  
• Competitive compensation and benefits with opportunities for career advancement and continuous learning.
  
• A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.
  

About us: Stafide is the premier destination for tech talent consulting, providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers, focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment, we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment. As a Data Engineer, you will: Build production-ready, scalable Machine Learning Models & Systems. Maintain and improve ML pipelines and experimentation infrastructure, focusing on scalability, stability, usability, and performance. Ensure the quality of deliverables by designing and implementing unit- and integration tests. Troubleshoot, analyze, and solve issues from tests and customer reports. Suggest improvements to technical solutions and working methods, implementing them in alignment with your team. Participate in team knowledge sharing, design reviews, and technical reviews. Play a pivotal role in mentoring colleagues and sharing insights and best practices for operationalizing ML/AI models and solutions. What You Bring to the Table: Approximately 5 years of experience in Python software development. Extensive experience in the Azure (and/or Databricks or similar) Data Stack. Proven expertise in integrating CI/CD practices. Experience with MLOps frameworks. Deep understanding of design and cloud patterns. Experience with data ingestion, data storage, data processing, and data security principles at scale. Demonstrable engineering experience in a largely Open Source environment, including technologies such as Kafka, Hadoop ecosystems (HDFS, Hive, Impala), Git, Jenkins, Docker, MLflow, and Kubernetes. Solid communication and cooperation skills in Dutch and English, with fluency in German being a plus. Willingness to undergo an in-depth background screening. Possession of Azure or similar Associate Cloud Data Engineer Certification is a plus. You should possess the ability to: Design and implement scalable and efficient machine learning models and systems. Develop and maintain robust ML pipelines with a focus on scalability, reliability, and performance. Implement and execute unit and integration tests to ensure the quality and stability of deliverables. Analyze and troubleshoot issues efficiently, both proactively and reactively. Collaborate effectively with team members to suggest and implement improvements to technical solutions and workflows. Mentor colleagues and share expertise to foster the growth and development of the team. Communicate technical concepts effectively in both Dutch and English, with the ability to convey complex ideas to diverse stakeholders. Adapt to evolving technologies and methodologies in the data engineering and machine learning landscape. What We Bring to the Table: A collaborative and innovative workplace that encourages creativity and supports professional growth. Opportunities to lead and implement cutting-edge technology solutions in a robust environment. Competitive compensation and benefits, with opportunities for career advancement and continuous learning. A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.