At EasyPark, we love cities. We love them for work, for play and everything in between. That’s why our mission is to make life in cities that much easier – by taking care of the parking. With the use of technology, we break barriers, helping improve the urban experience. Our aim is to create a scenario where parking supply and driver demand are balanced not due to additional parking spots and fewer cars, but thanks to predictive technology that connects our users to available spots.

The Role

We are looking for a Data Ops Engineer to join our Data Platform team. In this role, you will be responsible for building and operating the data platform that enables EasyPark to win through data. You will play a key role in improving EasyPark's data maturity and contributing to our global growth.

Together with the other team members in the Data Platform team develop and ship the viable and valuable global data platform for Easypark. Ensure that all the users of the platform have a stable, secure and scalable platform to build data products on.

Everyday life as a Data Ops Engineer

• Together with the team, plan for, and deliver features and technical enhancements that evolve the global data platform and make it more fit-for-purpose, cost efficient, performant, scalable.

• Taking responsibility for the quality of the software produced and the platform offering that the team owns. Provide ongoing maintenance, support and enhancements to the components of the data platform

• Providing regular, effective peer code-reviews with short feedback loops

• Actively participating in team ceremonies and discovery activities, taking co-ownership for the team’s overall ways of working

• Taking responsibility for designing, refining, estimating, planning, and managing tasks with the rest of the team and communicating progress on ongoing tasks

• Interacting with users of the data platform and internal stakeholders as necessary to clarify and understand their needs

• Working directly with the Engineering Manager, the rest of the team and the Tech Lead to shape the architecture and implementation of new features or capabilities

Key Skills

• 4+ years of professional experience as data engineer

• Excellent python and SQL skills

• Good software engineering skills (version control, CI/CD, SDLC knowledge, etc.)

• Experience with building and maintaining data pipelines

• Experience with modern, cloud-based data warehouses

• Nice to have: experience with Kubernetes, Helm charts and Terraform

• Nice to have: experience with data modeling techniques and frameworks
  
  Location: This role follows a hybrid-remote setup and is based in Poland, with a primary focus on Łódź.
  

What we offer

• Flexible ways of working: combine working from home with working from the office, whatever is agreed on within your team

• Digital global onboarding: three days to indulge in learning & connecting with fellow new starters across the globe

• Pension, insurance & health reimbursement: A competitive pension, in combination with the basic package of insurance

• Work for an award winning company: for three years in a row (2019, -20, -21) EasyPark was awarded Sweden’s Best Managed Companies by Deloitte