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Data Engineering Lead

2 months ago

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

About Us

Tenzo - Restaurant PerformanceOps is a group of restaurant-obsessed foodies with a passion for shifting restaurants from surviving to thriving. Our purpose is to supercharge restaurant performance and our mission explains how we're going to do just that.

Our Purpose

We believe that every restaurant operator should know what's going on in their business and what they can do to optimize their performance. We're committed to creating a culture of diversity and inclusion, where everyone feels valued and respected.

The Role

We're looking for a Senior Data Engineer to join our Aggregate Team, responsible for building and maintaining our data pipeline and ETL processes. As a key member of our team, you'll design and develop data pipelines, orchestrating key activities such as data ingestion, extraction, and transformation, task automation, and serving of data to applications and dashboards.

Key Responsibilities

  • Design and develop data pipelines, ensuring efficient and reliable data workflows
  • Work on complex data challenges, balancing delivery of short-term wins and longer-term value
  • 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
  • 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 dedicated time for personal development and clear career progression in an exciting time of growth and development of the company
  • Workstation perks, including a MacBook and all software needed on your first day
  • Flexible working, with a minimum of 2 days a week in the London office
  • Enhanced parental leave and pension scheme
  • Dedicated time for personal and professional development, including monthly lunch and learns
  • Annual leave, including up to 2 weeks during the UK summertime working abroad