Data Analytics Engineer

TL;DR

Data Analytics Engineer: Building and maintaining data infrastructure and tooling, and building high quality and easy to use datasets for hirify.global’s Analysts and Data Scientists with an accent on reliable, efficient, and testable data pipelines. Focus on identifying areas of improvement throughout hirify.global’s data ecosystem and integrating high quality data into third party tools.

Location: Hybrid (Barcelona). This role provides relocation assistance to Barcelona. This role is permanent/full-time and hybrid - Mondays & Thursdays in our office in Poblenou in Barcelona.

Company

hirify.global connects dog and cat parents with pet sitters and dog walkers across the US, Canada, and Europe.

What you will do

• Lead and contribute to cross team data projects to ensure data pipelines are reliable, efficient, and testable.
• Work with internal stakeholders to ensure data products align with business goals, proactively surfacing areas of improvement.
• Identify areas of improvement throughout hirify.global’s data ecosystem to build out the Analytics Engineering portion of our roadmap.
• Deliver well-defined, tested, documented, and code-reviewed ETL/ELT pipelines and DBT models.
• Build and maintain self-service tools and data products that empower engineers, data scientists, and analysts to quickly get key business insights.
• Investigate and solve data related bugs and technical issues efficiently within our Data Platform tooling and DBT models.

Requirements

• 4+ years of Data/BI/Analytics/Software engineering, data science, or similar experience
• Expertise in Python with a passion for writing high-quality code
• Advanced SQL skills with experience writing/tuning/debugging queries against large datasets from multiple sources
• Experience building, maintaining, and collecting requirements for high quality datasets that meet the needs of our stakeholders
• Excellent communication skills and the ability to collaborate with technical and non-technical teams
• Experience building ETL/ELT pipelines that are reliable, properly monitored, and easy to maintain

Nice to have

• Familiarity with data governance best practices, such as implementing and maintaining data policies, standards and procedures
• Experience with Sagemaker, ML Flow, and/or other ML Ops related tooling

Culture & Benefits

• Competitive compensation
• Permanent contract
• Generous PTO allowance
• Bring your dog to work (and unlimited puppy time)
• Regular team activities, including happy hours, game nights, and more