Senior Data Engineer

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 Senior Data Engineer you will:

• Lead and support data engineering and software development activities across various technology projects.
  
• Be responsible for setting up and managing robust data engineering pipelines processing data and utilizing machine learning frameworks and tools.
  
• Develop software in Python ensuring high standards in code quality configuration management and adherence to the SDLC within a cloudbased infrastructure.
  
• Define and document architecture updating project documentation and liaising with stakeholders such as field trial organizers local IT teams and accreditation authorities.
  
• Manage data to ensure that both the software developed and the data acquired are handled in accordance with internal guidelines and metadata management best practices.
  
• Configure pipelines and implement DevOps tools specifically within environments using Microsoft Azure Docker and Kubernetes.
  
• Participate in Agile Development processes following the SCRUM framework.
  

What You Bring to the Table:

• A Bachelor s or Master s degree in Computer Science Computer Engineering or a related field.
  
• Seniorlevel experience with a broad skill set in Data and Software Engineering demonstrating the ability to independently handle tasks and collaborate effectively within a team.
  
• Expertise in Python software development with a good understanding of cloud services and infrastructure.
  
• Experience in data management and familiarity with DevOps configurations and tools such as Docker and Kubernetes.
  
• Professional experience with technologies like Apache Airflow Dask DataBricks GitLab and Microsoft Azure is highly regarded.
  
• Knowledge of environmental and geospatial data and familiarity with frameworks and tools like Apache Atlas Microsoft Purview NATO Software Factory NetCDF Streamlit and TensorFlow is a plus.
  
  

You Should Possess the Ability to:

• Effectively manage multiple priorities in a dynamic project environment.
  
• Communicate clearly and collaborate with internal and external stakeholders to meet project deliverables.
  
• Adapt and apply new technological solutions to practical challenges within the project scope.
  

What We Bring to the Table:

• An opportunity to be part of a leading team driving cloud innovation and transformation.
  
• A collaborative and supportive work environment that values continuous learning professional growth and advancement.
  
• Competitive compensation comprehensive benefits and opportunities for professional and personal development in a cuttingedge technology landscape.
  

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 Senior Data Engineer, you will: Lead and support data engineering and software development activities across various technology projects. Be responsible for setting up and managing robust data engineering pipelines, processing data, and utilizing machine learning frameworks and tools. Develop software in Python, ensuring high standards in code quality, configuration management, and adherence to the SDLC within a cloud-based infrastructure. Define and document architecture, updating project documentation, and liaising with stakeholders such as field trial organizers, local IT teams, and accreditation authorities. Manage data to ensure that both the software developed and the data acquired are handled in accordance with internal guidelines and metadata management best practices. Configure pipelines and implement DevOps tools, specifically within environments using Microsoft Azure, Docker, and Kubernetes. Participate in Agile Development processes, following the SCRUM framework. What You Bring to the Table: A Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Senior-level experience with a broad skill set in Data and Software Engineering, demonstrating the ability to independently handle tasks and collaborate effectively within a team. Expertise in Python software development, with a good understanding of cloud services and infrastructure. Experience in data management and familiarity with DevOps configurations and tools such as Docker and Kubernetes. Professional experience with technologies like Apache Airflow, Dask, DataBricks, GitLab, and Microsoft Azure is highly regarded. Knowledge of environmental and geospatial data, and familiarity with frameworks and tools like Apache Atlas, Microsoft Purview, NATO Software Factory, NetCDF, Streamlit, and TensorFlow is a plus. You Should Possess the Ability to: Effectively manage multiple priorities in a dynamic project environment. Communicate clearly and collaborate with internal and external stakeholders to meet project deliverables. Adapt and apply new technological solutions to practical challenges within the project scope. What We Bring to the Table: An opportunity to be part of a leading team driving cloud innovation and transformation. A collaborative and supportive work environment that values continuous learning, professional growth, and advancement. Competitive compensation, comprehensive benefits, and opportunities for professional and personal development in a cutting-edge technology landscape.