Data Engineer

London, England, United Kingdom

Applications have closed

Screenloop (production)

Streamline your talent acquisition operations with Screenloop's cutting-edge platform. Leveraging AI-driven interview notetaking and comprehensive analytics, we simplify and enhance every recruitment step for optimal results.

View company page

We're looking for a Data Engineer to join our global tech squads who is passionate about applying their analytical and engineering skills to democratize data, metrics and insights to drive decision making and analytics across GetGround. This includes focusing on data pipelines, transformation, data quality, access control and performance to support Data Analysts.

Requirements

  • You've worked in a Data or Engineering based role
  • SQL, relational databases
  • Data eventing systems such as snowplow
  • Good understanding of agile processes and best practices
  • Fluent written and spoken English is essential.

Benefits

  • πŸ’° Competitive salary + stock options
  • πŸ₯ Private health + dental benefits
  • 🏑 Flexible/hybrid working (check details with your recruiter)
  • πŸ– 1 day off per month as a mental health day (12 days annually) PLUS holidays and public days off
  • 🧠 Mental health support - 24/7 access to mental health support, counselling, therapy & coaching through Spectrum.Life for all employees and their immediate family
  • 🎳 Team and company-wide events
  • πŸ“ˆ 360Β° performance reviews to promote a culture of growth and development
  • 🎀 Support for conferences and professional learning & development

* Salary range is an estimate based on our AI, ML, Data Science Salary Index πŸ’°

Tags: Agile Data pipelines Data quality Engineering Pipelines RDBMS SQL

Perks/benefits: Career development Competitive pay Conferences Equity Flex hours Health care Team events

Region: Europe
Country: United Kingdom
Job stats:  7  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.