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Senior Data Architect

2 months ago


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

We are seeking a highly skilled Senior Data Engineer to join our team at Tribal Tech - The Digital, Data & AI Specialists. As a Senior Data Engineer, you will play a key role in designing, implementing, and maintaining robust data pipelines and infrastructure.

Key Responsibilities:
  • Design and develop ETL/ELT processes using cloud-based technologies such as AWS, Azure, or GCP.
  • Implement data warehousing solutions using platforms like Snowflake or Azure Synapse Analytics.
  • 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 exciting 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.