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London, Greater London, United Kingdom Tenzo - Restaurant PerformanceOps Full time
About Tenzo - Restaurant PerformanceOps

Tenzo is a pioneering restaurant performance optimization company that empowers restaurant operators to make data-driven decisions. Our mission is to revolutionize the restaurant industry by providing cutting-edge technology solutions that drive business growth and profitability.

Job Summary

We are seeking an experienced Senior Data Engineer to join our Product Engineering team, specifically our Aggregate Team. As a Senior Data Engineer, you will play a critical role in designing and developing data pipelines, orchestrating key activities such as data ingestion, extraction, and transformation, and ensuring the reliability and security of integration points.

Key Responsibilities
  • Design and develop data pipelines using industry-standard protocols and APIs.
  • Work on complex data challenges, balancing delivery of short-term wins and longer-term value.
  • Build robust, scalable, and efficient integrations using industry-standard protocols and APIs.
  • Optimize and troubleshoot data workflows to ensure efficiency and reliability.
  • Implement and improve data quality and validation checks to ensure data integrity.
  • Identify, troubleshoot, and resolve data mismatch bugs and other data quality issues.
  • Contribute to the development and maintenance of our data warehouse solution on Snowflake.
  • Collaborate with our product manager and stakeholders to collect and refine data requirements.
  • Optimize data storage, infrastructure performance, and cost.
  • Practice and promote excellent data and cloud engineering best practices.
Requirements
  • Proficient in Python programming for data manipulation and automation.
  • Proficiency in SQL and experience with relational databases such as PostgreSQL, including database administration, tuning, and optimization.
  • Experience with data pipeline and workflow management tools such as Apache Airflow.
  • Proficiency in Git.
  • Ability and eagerness to write high-quality code, technical documentation, architecture diagrams, and production plans.
  • Strong understanding of data challenges and strategies to address them, including data quality, privacy, and security.
  • A pragmatic approach to data engineering, balancing the need for near-term value with future-proofing and scalability.
  • Strong knowledge of data management best practices, including frameworks for testing, monitoring, and alerting in relation to data pipelines.
What We Offer
  • A competitive salary and benefits package.
  • A dynamic and supportive work environment.
  • Opportunities for professional growth and development.
  • A chance to work with a cutting-edge technology stack.
  • A collaborative and innovative team culture.