Senior Data Engineer

This is us

At Qinshift we’re committed to making real impact. With us you’re working with teams of tech focused peers who thrive with creative thinking and dedication to learning and improvement. Here, you’ll be an important part of our community, where we actively encourage you to bring thoughts and ideas to the table. If this resonates with you and you're interested in this position we would be delighted to talk to you.

This is the job

It is our company's ultimate goal to assist our clients in becoming data-driven. With technical skills and a creative mind, we help our clients achieve tangible business results, such as improved products, utilization, less maintenance, and, ultimately, better user experiences.

As a Data Engineer, you’ll be a part of a team that creates end-to-end data platform solutions, which includes defining requirements, designing, developing, configuring, and testing the platform. You will work closely with the stakeholders to define and formulate requirements in an agile way. One of your main responsibilities is to translate these requirements into scalable and easy-to-maintain data pipelines using the tools best suited for the task. The solutions you will work with range from traditional data warehouses to more modern architectures such as data lakes and streams.

This is you

For this role, we believe you are a creative and analytical person who uses your knowledge and engineering skills to create business value. Your ability to transform data and statistics into a strategic way of thinking is the key.

You probably have an educational background, Master, or Bachelor´s degree within a suitable area such as engineering or science. Alternatively, a comparable industry career with significant experience in analytics.

Required skills:

- Experience from Azure Analytics platforms such as Data Factory, Databricks, and Synapse (or similar experience from other cloud platforms e.g., GCP, AWS)

- A couple of years of experience with SQL, Python, and/or Scala

- Broad knowledge of concepts and architecture within Data Warehouse and more modern solutions such as Delta Lakes/Lakehouse architecture

- A good understanding of DevOps processes, version control, CI/CD practices

- Comfortable in Swedish and English, both spoken and written

Nice-to-have skills:

It’s a plus if you’re experienced in different visualization tools such as Power BI or Qlik but also if you’re used to working with infrastructure as code (IAC) tools such as Terraform or Bicep.

What awaits you at Qinshift?

Through our values, Better Minds, Bolder Ideas and Bigger Hearts, we strive to provide you with the tools, the autonomy, the trust, and assistance you need to excel. Enjoy benefits like private health insurance, well-being programs, flexible and hybrid work models, laptops and gear, trainings, language classes, social events, great offices, and more.

We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.