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Data Engineer

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At Quinyx we want to create a better life for millions of people by improving their work lives. We want to see happy employees, happy customers, and happy businesses. And we want the best people to help us make this happen.

Do you have what it takes? We’re growing fast and looking for fantastic people to join our team. You need to be fuelled by a desire to make a real difference and impact in the world, ready to begin an awesome journey and be prepared to make magic happen with us.

As a member of the Quinyx family, you’ll be part of an inclusive and diverse workplace, where we want you to be yourself and enjoy work. You’ll be given the opportunity to make an impact and directly contribute to our success. Along with continuous learning, you’ll have the chance to work and interact with innovative people from all over the world.

Quinyx is the market leader in SaaS Workforce Management. We are a fast-growing tech-company that enables customers to schedule, report time and dynamically forecast optimal labor costs against sales, while maintaining a smiling workforce.

We’re now looking for a great Data Engineer to strengthen our growing Analytics Team who is interested in working with state-of-the-art data technologies and frameworks, enabling data driven decision-making, having a big impact in your everyday work.

What you'll do!

  • Developing and optimizing our data pipelines, data collection, ETL-processes and data warehouse
  • Work closely with data scientists, analysts, other software engineers, devops and stakeholders across the business, to build solutions and data sets to enable new insights, and help them discover new opportunities.
  • Being the glue between engineering and analysis.
  • Scaling systems and platforms as we grow.
  • Take ownership and responsibility for the quality of our data with consideration on efficiency and performance.
  • Use state-of-the-art data processing frameworks, technologies and platforms to help the team achieve success.


  • You have professional experience in developing and optimizing data pipelines, ETL processes, data modelling and data warehousing.
  • Experience with Python, SQL, Spark, Hadoop, AWS Glue, Redshift, Kafka, AWS Cloud Tools, big data platforms or similar technologies.
  • Experience designing and tuning high-performance systems.
  • Experience working with data quality, test automation and version control.
  • Strong analytical mindset and problem solving skills.
  • Team player with an interest for analytics, machine learning and AI.
  • MSc degree in Engineering, Computer Science or equivalent field.

How we Enjoy Work!

We’ve built a family atmosphere here at Quinyx and are committed to supporting one another!

We’re an international team from various parts of the world who all come together to create the best possible work environment. We have fun together whether it’s during a typical Swedish fika, workshop, going for a run with a colleague or at one of our epic parties. This is how we stay innovative!

We’ll provide you with the training and tools needed for our market, flexible working hours, 30 days of vacation, healthcare contribution- among other great benefits, and last but not least, you’ll have the chance to participate in our well known ping-pong tournament!

Want to join the family?

Please pop across your CV as soon as possible, we can’t wait to check it out.

If you have any questions about this role you're more than welcome to use the chat box down in the right corner, or reach out to Erika Östberg, Talent Acquisition Manager at Quinyx on erika.ostberg@quinyx.com

May the workforce be with you!

Apply now

Or, know someone who would be a perfect fit? Let them know!

How we Enjoy Work

We’re a multicultural team from various parts of the world who all come together to create the best possible Workforce Management solution. 

We have fun together whether it’s during a workshop, playing ping-pong, going for a run with a colleague or at one of our epic parties - this is how we stay creative.

We think it’s great you have your free time where you can reload, relax and maybe come up with some new awesome ideas.


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