We are a consulting company with a bunch of tech-savvy and happy people!

We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where every individual is highly valued.

With us, everyone can be themselves while respecting others for who they are. We believe that when an amazing mix of people come together and share their knowledge, experiences, and ideas, we can help our clients on a completely different level.

We are looking for someone who can start immediately and wants to grow with us!

With us, you have great opportunities to make real progress in your career and the chance to take on significant responsibility.

The role involves taking end-to-end ownership of building, optimizing, and supporting both existing and new data products aligned with the target vision. It requires championing DevOps principles by managing CI/CD pipelines, Terraform, and GCP cloud infrastructure. A key responsibility is ensuring that data products operate as independent deployable units while meeting standards for security, scalability, observability, and performance. The role also includes close collaboration with the Product Owner and other stakeholders to shape the vision for current products and identify new opportunities based on customer needs. You will work with various product teams within and outside the domain on data mesh–related topics, continuously evaluate and improve systems, reduce technical debt, and stay current with the latest developments in data, analytics, and cloud technologies.

Core Technical Skills

• Google Cloud Platform (GCP) – especially Dataflow and BigQuery

• DBT (Data Build Tool)

• CI/CD pipelines and Terraform

• Cloud infrastructure management (GCP)

• Programming languages: Python, Java, or Scala

• SQL or similar query languages

• Data formats: Avro, Parquet

• Data modeling techniques (and understanding trade-offs)

• NoSQL and RDBMS knowledge

• Data visualization tools

DevOps & Architecture Skills

• DevOps mindset and principles

• Building deployable, independent data products

• Ensuring security, scalability, observability, and performance

• Working within a data mesh architecture

• Technical debt reduction & continuous improvement

Start date: ASAP

Mode of Work: Hybrid

Location: Stockholm

Form of employment: Full-time until further notice, we apply 6 months probationary employment.

We interview candidates on an ongoing basis, do not wait to submit your application.