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Data Platform Engineer

Location:
Germany
Salary:
Up to €90000 per annum
Job Type:
Permanent
Date Posted:
29 days ago
Expiry Date:
28/07/2024
Job Ref:
BBBH106182_1718271897
Start Date:
13/06/2024
Contact:
Mitchell Palmer
Contact Email:
mitchell.palmer@xcede.de
Specialism:
Data Engineering

Are you looking for a remote opportunity in Germany where you can be part of a high performing scale up company? My client is looking for your expertise to help them elevate their state of the art data platform.

You will work closely with data analysts, scientists, and cross-functional teams to ensure data infrastructure is robust and conducive to innovative analytics and machine Learning.

Key Responsibilities:

  • Design, develop, and manage a secure and scalable data platform that supports high-volume and high-velocity data
  • Develop and provide best practices in tools and approaches to working with data
  • Engineer and optimize data pipelines, ensuring clean and quality data is accessible to stakeholders and systems across the enterprise
  • Implement effective data governance and compliance protocols to ensure data integrity and privacy
  • Collaborate with data analysts and scientists to deploy analytics models and machine learning algorithms into production
  • Monitor and support all data platform operations, including performance tuning and troubleshooting
  • Continuously assess and integrate state-of-the-art data technologies and tools to maintain a competitive edge
  • Document both high-level architecture and detailed technical specifications to guide future enhancements and integrations
  • Act as a subject matter expert on data platform and data engineering practices within the organization

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related field
  • At least 3 years of experience in a Data Engineering role, building and scaling data platforms.
  • Expertise in SQL, python, IaaC, CI/CD, and GCP BigQuery
  • Familiarity with data pipeline and workflow management tools such as dbt and Apache Airflow
  • Knowledge of cloud computing services (AWS, Azure, GCP)
  • Excellent problem-solving abilities and a knack for performance optimization
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders

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Mitchell Palmer

Mitchell Palmer

Specialisms: Data, Data Engineering
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