Data engineer

Jobylon

Stockholms kommun

On-site

SEK 558,000 - 781,200

Full time

14 days+
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Job summary

Jobylon, located in Stockholms län, is seeking a Data Engineer to take ownership of the data domain. You will be responsible for building data products and analytics platforms to enhance hiring processes.

In this role, you will work primarily with Python and SQL, ensuring reliable data flows and accurate reporting metrics for our clients. The ideal candidate has several years of experience in data engineering and is fluent in English.

Qualifications

  • Several years of experience as a Data Engineer, building data products.
  • Comfortable working with Python, SQL, and relational databases.
  • Enjoy understanding the problem behind data requests to create value.

Responsibilities

  • Build scalable data pipelines and data warehouse solutions.
  • Collaborate with backend developers and product teams.
  • Create metrics to help customers understand their hiring performance.

Skills

Python
SQL
Relational databases
Scalable data models

Job description

Do you enjoy turning data into something people can actually use to make better decisions?

At Jobylon, you’ll join at a point where data is becoming increasingly important to both our customers and our product. The foundation is there, but there’s still plenty left to build.

You’ll be the person responsible for turning raw data into reporting that helps companies understand and improve their hiring. Some of the challenges are technical: building scalable pipelines, reliable models, and performant queries. Others are about understanding what customers actually need to measure and making sure the right data is available when they need it.

You’ll have significant ownership from day one and a chance to shape how data is collected, modeled, and used across our products.

About the job

You’ll own the data domain at Jobylon.

Rather than joining a large data team with narrowly defined responsibilities, you’ll have the opportunity to shape how data flows through our products and ultimately reaches our customers.

A big part of your work will be building the next generation of reporting. You’ll help create the metrics customers rely on to understand their hiring performance, workforce planning, and recruitment processes.

You’ll work with data from across our products and make sure it moves reliably from source systems into scalable models that support analytics and reporting. As new products, customers, and use cases are added, you’ll help ensure the data platform is ready to support them.

You’ll collaborate closely with backend developers, product teams, and engineering leadership to understand business needs and turn them into something measurable and actionable.

You’ll primarily work with Python and SQL, alongside modern data tools and warehouse technologies. The focus, however, isn’t the technology itself. It’s making sure customers can trust the data they’re looking at and use it to make better decisions.

Most days are spent in deep focus work rather than meetings, giving you plenty of space to solve problems, improve systems, and build things properly.

About you

You have several years of experience as a Data Engineer, building data products, analytics platforms, or data warehouse solutions.

You’re comfortable working with Python, SQL, relational databases, and scalable data models.

You understand that good data engineering is about more than moving data from one place to another. You enjoy understanding the problem behind the request and making sure the end result creates value for the people using it.

You’re comfortable taking ownership and driving your area forward independently. At the same time, you enjoy collaborating with developers and product teams to find the best solutions together.

You speak and write English fluently, as it’s our working language.

To be considered for the role, you also need to be based in the Stockholm area and able to visit our office regularly. Unfortunately, we’re unable to provide relocation or visa sponsorship for this position.

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