TL;DR

Senior Data Engineer (Data Engineering): Modernizing the Data Platform by contributing to ETL tooling and ensuring data reliability with an accent on data governance and architecture. Focus on leading cross-team data projects, mentoring engineers, and building self-service tools for data insights.

Location: Hybrid - Mondays & Thursdays in our office in Poblenou, Barcelona

Company

%hirify_global% connects pet parents with pet sitters and dog walkers, empowering them to run their own pet care businesses.

What you will do

Lead cross team data projects to ensure our pipelines are reliable, efficient, and testable
Communicate efficiently across team boundaries to establish overarching data architecture, and provide guidance to individual teams
Deliver well-defined, transformed, tested, documented, and code-reviewed DBT models and ETL pipelines
Mentor fellow Engineers to help develop and grow their technical skills
Build self-service tools that empower engineers, data scientists, and analysts to quickly get key business insights
Understand %hirify_global%'s data needs and identify inefficiencies in the Data Platform to help prioritize and inform our team's roadmap

Requirements

6+ years of data engineering, software engineering, data science, or other relevant experience
Expertise in Python and SQL with a passion for writing high-quality code
Experience designing and deploying highly performant data pipelines with reliable monitoring and logging practices
Proven track record of exercising data engineering best practices around data governance, data modeling, automated testing, and monitoring
Experience and enthusiasm for mentoring teammates, providing technical feedback, and sharing knowledge with others
Expertise with the majority of our tech stack: Python, DBT, Dagster, Redshift, Docker, Kafka, Kubernetes, Terraform