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Senior Platform Data Engineer

Location:
Germany
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
17 days ago
Expiry Date:
30/06/2024
Job Ref:
BBBH109605_1717144331
Start Date:
31/05/2024
Contact:
Steven Waterson
Contact Email:
steven.waterson@xcede.de
Specialism:
Data Engineering

Senior Data Platform Engineer

100% remote in Germany

180 days a year working anywhere across the globe

Salary: €95,000 per annum

Working language: English

The Data Engineer will play a pivotal role in crafting a scalable and efficient data ecosystem that supports our business objectives. Your technical prowess in data warehousing, data modeling, and data pipeline optimization will be critical to the success of our data-driven initiatives. You will work closely with data analysts, scientists, and cross-functional teams to ensure our 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, with a proven track record of building and scaling data platforms
● Expertise in SQL, python, IaaC, CI/CD, and DWH databases (e.g., BigQuery or Snowflake)
● 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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Steven Waterson

Steven Waterson

Specialisms: AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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