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Senior Data Architect

2 months ago

London, Greater London, United Kingdom Tribal Tech - The Digital, Data & AI Specialists Full time
Senior Data Engineer

Tribal Tech - The Digital, Data & AI Specialists is seeking an experienced Senior Data Engineer to join their innovative team. This role offers a unique opportunity to shape the future of data-driven decision-making within a rapidly growing organization.

Key Responsibilities
  • Design and implement robust data pipelines and infrastructure using cloud-based technologies (AWS, Azure, or GCP)
  • Develop and maintain ETL/ELT processes using cloud-based technologies (AWS, Azure, or GCP)
  • Create and optimize data models for efficient querying and analysis
  • Collaborate with data scientists and analysts to support machine learning initiatives
  • Implement data quality checks and governance processes
  • Contribute to the development of data visualization solutions using tools like Power BI or Tableau
  • Participate in code reviews and mentor junior team members
Requirements
  • 5+ years of experience in data engineering roles
  • Strong proficiency in Python and SQL
  • Extensive experience with cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka
  • Familiarity with data warehousing concepts and implementation
  • Experience with CI/CD practices and DevOps principles
  • Knowledge of data modeling techniques and best practices
  • Excellent problem-solving and communication skills
Preferred Qualifications
  • Experience with Databricks or similar data processing platforms
  • Familiarity with streaming data architectures
  • Knowledge of data governance and compliance requirements
  • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)

This is an excellent opportunity for a talented Senior Data Engineer to make a significant impact in a dynamic, fast-paced environment. If you're passionate about leveraging cutting-edge technologies to solve complex data challenges, we want to hear from you.