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Skilled Data Engineer at Datashift | Mechelen, Belgium

DatashiftMechelen, Vlaams Gewest, Belgium
On-site Full-time

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Experience Level

Experience

Qualifications

Your QualificationsProficient in Python programming. Passionate about writing and maintaining well-structured code. Strong development background with familiarity in Java and/or PHP. Experience with API integrations. Proficient in pipeline automation tools, such as Apache Airflow. Deep expertise in SQL. Experience with cloud platforms like AWS, GCP, Azure, and infrastructure tools like Ansible and Terraform. Linux experience is a plus. Fluency in Dutch and/or French and English.

About the job

Join the dynamic consultancy team at Datashift, where we specialize in delivering data-driven solutions that address critical business challenges. We are currently seeking a talented Data Engineer to support our rapidly expanding practice.

If you possess 3 to 6 years of experience and enjoy approaching projects from a comprehensive data perspective, we encourage you to apply. We look forward to discussing your expertise over an interview and a virtual coffee.

Your Responsibilities

  • Transform client requirements into sustainable data solutions, including ETL processes, Infrastructure as Code, interfaces, and pipelines.

  • Architect data solutions by balancing cost and maintainability considerations.

  • Collaborate with Data Scientists, BI specialists, and Business Consultants to deliver exceptional value to our clients.

  • Stay informed about the latest advancements in data technology and share your insights with colleagues.

  • Ensure the quality and stability of data solutions.

  • Mentor junior Data Engineers.

About Datashift

At Datashift, we believe in fostering growth through our people. We provide guidance and opportunities for professional development in a supportive environment. We empower you to take charge of your career trajectory, equipping you with the resources to excel. You will work alongside an entrepreneurial team that encourages innovation and continuous learning in the field of Data Engineering.

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