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Senior Data Engineer
2 months ago
We are 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.
We believe that every restaurant operator should know what's going on in their business and what they can do to optimize their performance.
About the RoleYou'll be joining our Product Engineering team, specifically our Aggregate Team. The Aggregate Team is responsible for building and maintaining our data pipeline and ETL processes, which form the core of our product and define what makes Tenzo unique.
We are constantly expanding our capabilities and handling substantial amounts of data that feed our web and mobile applications.
Key Responsibilities- 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.
- 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. Ensure the reliability and security of integration points.
- 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.
- Combines an analytical and business-oriented mindset to create intelligent solutions that enable delightful data experiences for our colleagues and customers, balancing delivery of short-term wins and longer-term value.
- Has strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Willing to take initiative, proactively contribute ideas, and like to own work from the beginning to the end with minimal supervision.
- Familiar with SQL databases, analytical data warehouses, data orchestration, and data pipeline tools.
- Proficient at writing technical documentation, plans, and creating architecture diagrams.
- Has continuous delivery experience in an agile environment, such as Scrum or Kanban.
- 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.
- Opportunity to work with a fast-growing, exciting start-up with a huge amount of growth potential.
- Flexible working arrangements, including a minimum of 2 days a week in the London office.
- Enhanced parental leave policy.
- Stock options program.
- ESG pension scheme.
- Customer lunches and team offsite events.
- Dedicated time for personal and professional development.
- Annual leave and work abroad opportunities.
