Data Engineer, Analytics

Grover
Vienna, Austria
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Barcelona, Spain

Tech stack

Data analysis
Big Data
Data Governance
ETL
Software Debugging
Python
Software Engineering
SQL Databases
Kubernetes
Machine Learning Operations
Terraform
Data Pipelines
Redshift

Job description

  • 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

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

  • 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 & conditions

  • 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

About the company

We're on a mission to re-invent consumption and to make innovative technology accessible to everyone. Up to date, we raised 250 million euros, becoming a leading startup of the Circular Economy worldwide. Our model? For a low monthly fee, private customers, as well as businesses, get access to a wide assortment of tech products at a fraction of the purchase price ;)

We are at the forefront of reducing waste and establishing a more sustainable way of using products for both consumers and the environment!

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