Data Engineer, Analytics

hace 2 semanas

Barcelona, Barcelona, España Rover A tiempo completo
Who we are:  Want to make an impact? Join our pack and come work (and play) with us.
We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them.
Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We've got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. 
At Rover, our furry coworkers are just as important as our human ones—and we wouldn't have it any other way. Along with making the joys of pet parenthood more accessible, we're committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.
This role provides relocation assistance to Barcelona. This role is permanent/full-time and hybrid - Mondays & Thursdays in our office in Poblenou in Barcelona. 
Please submit CV in English
Analytics Engineering at Rover: Data powers everything at Rover. Our team works closely with all parts of the organization to ensure that the data the business relies on is fresh, accurate, and reliable and that our reporting infrastructure meets the needs of everyone from analysts to the C-suite. We own and maintain the data infrastructure and tooling used all throughout Rover. Our team is taking on a new Analytics Engineering function, aiming to empower Rover's Analysts and Data Scientists by building high quality and easy to use datasets, and ensuring the wider business has high quality data integrated into where it's needed. We're looking for someone excited to partner closely with our stakeholders, dive deep into the data needs of our business, build highly impactful data products and pipelines to integrate them into third party tools
Your Responsibilities:
  • Lead and contribute to cross team data projects to ensure our 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 Rover'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
  • Enable the effective usage of our platform by partnering with Product Engineering, Data Science, and Analytics
  • Investigate and solve data related bugs and technical issues efficiently within our Data Platform tooling and DBT models
Your Qualifications:
  • 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
  • Familiarity with the majority of our tech stack: Python, DBT, Dagster, Redshift, Kubernetes, and Terraform
Bonus Skills:
  • 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
Benefits of Working for Rover:
  • Competitive compensation
  • Long-term incentive plan with a company performance-based cash payout
  • Permanent contract
  • Pension plan
  • Meal tickets through Cobee
  • Generous PTO allowance
  • Private health insurance
  • Discounted gym membership
  • Bring your dog to work (and unlimited puppy time)
  • Monetary help for adopting a dog or cat plus yearly credit to use on our platform 
  • A wide variety of snacks, fresh fruit, and beverages in our kitchen to keep yourself going 
  • Regular team activities, including happy hours, game nights, and more
Rover is an equal-opportunity employer committed to promoting a diverse, inclusive, and inventive environment with the best employees. We're driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations, and ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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