Cloud Data Engineer

buscojobs España; Córdoba; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in dental technology is seeking a Cloud Data Engineer to enhance their global data platform. The role involves developing scalable data pipelines and collaborating with stakeholders to drive data-driven decision-making. Ideal candidates should have extensive experience in cloud environments and data engineering, particularly with AWS technologies.

Formación

• 7+ years of total working experience.
• 5+ years of hands-on data engineering experience in a cloud environment.
• Experience with AWS technologies like S3, Redshift, Glue.

Responsabilidades

• Develop, deploy, and improve data product-related services.
• Integrate key business data into the cloud-based data lakehouse.
• Create logging and monitoring services for data pipelines.

Conocimientos

Data Engineering

Cloud Proficiency

CI-CD Pipelines

Python

SQL Optimization

Educación

University degree in computer science or related domain

Herramientas

AWS

Terraform

Github Actions

Descripción del empleo

Headquartered in Basel, Straumann is a global leader in implant and restorative dentistry and oral tissue regeneration. Having pioneered many of the most influential technologies and tech-niques in our field, we have a tradition of doing more to advance dental regeneration, restora-tion and replacement, as well as patient care. Straumann partners with passionate people who fit in with the agile dynamics of our size-for-success company. People at Straumann appreciate the opportunity to shape our future and create impact. Encouraging leadership and inspiring ideas from our people has guided us through our proud history of pioneering innovation.

JOB PURPOSE

The role of Cloud Data Engineer is pivotal to the implementation and support of Straumann’s global data platform and the delivery of high-quality data products to our stakeholders across the business. As a member of the global Data & Analytics team, the role focuses on the implementation and maintenance of scalable data pipelines and platform features that enable data consumers to self-serve on our platform.

Working in an Agile scrum team, the Cloud Data Engineer will collaborate closely with enterprise data architects, application developers, data owners, and other key business stakeholders to ensure seamless and efficient incorporation of data from across the organisation. Bringing strong technical expertise in cloud environments, the role will play a key part in enabling data-driven decision-making across Straumann.

Main Tasks and Responsibilities

• Participate in the development, deployment, and continuous improvement of data product-related services, ensuring they are scalable, reliable, and secure.
• Integrate key business data from various source systems into the cloud-based data lakehouse, with reusability and self-service principles at the centre of all development efforts.
• Create logging and monitoring services, implementation of quality metrics, etc. to ensure high performance and reliability of data pipelines and products.
• Perform monitoring of platform tools and data pipelines to ensure minimal downtime.
• Align with Global Data Architecture on integration strategies, data architecture principles and data standards
• Contribute to data upskilling through the creation of user-friendly documentation and training materials related to platform features

Requirements

Education and Experience :

• University degree in computer science or related domain
• 7+ years of total working experience
• 5+ years of hands-on data engineering experience in a cloud environment
• Hands-on proficiency in cloud environments, ideally having worked with AWS technologies like S3, Redshift, Glue, etc., as well as industry-leading data warehousing and cataloging tools.
• Strong expertise in CI-CD pipelines (e.g., Github Actions) and infrastructure-as-code tools (e.g., Terraform).
• Development experience in programming languages like Python, PySpark, and experience in SQL optimization and performance tuning.
• Hands-on work experience in an SAP BW or Datasphere environment an advantage

Personal Attributes :

• Strong analytical thinking and structured way of working
• Open-minded, curious, and willing to learn
• Intrinsically motivated and dependable
• Team player with good communication and interpersonal skills
• Comfortable with ambiguity and a dynamic work environment

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