Senior/Expert Data Engineer
2 days ago
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.
Job DescriptionThe 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.
QualificationsCore 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.
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