Data Engineer (Senior Consultant)
EEZE
Publicerat: 05 Oct.
Sista ansökningsdag: 02 Nov.
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What we’re looking for
We are now looking for a Senior Data Engineer to join our client’s AI, Analytics & Data domain.
In this role, you will work as an individual contributor in one of the data product teams, building data products based on a Data Mesh concept.
You will play a key role in ensuring data is structured, accessible, high-quality, and delivered with scalability, security, and performance in mind.
Remote work is possible up to 40%, but presence in Stockholm is required
Responsibilities
- Build, optimize, and support new and existing data products towards the defined target vision.
- Implement DevOps principles, manage CI/CD pipelines, Terraform, and cloud infrastructure (GCP).
- Ensure data products meet standards for security, scalability, observability, and performance.
- Collaborate with Product Managers and stakeholders to refine vision and identify new data products.
- Work cross-domain with product teams around Data Mesh topics.
- Drive continuous improvement and reduce technical debt.
- Stay up to date on the latest cloud, analytics, and data technologies.
Must-have requirements
- Minimum 4+ years’ hands-on experience as a Data Engineer in GCP or similar modern cloud data platforms.
- Strong experience with GCP tools (BigQuery, Cloud Functions, Pub/Sub).
- Proficiency in SQL or similar query languages.
- Programming skills in Python, Java, or Scala.
- Experience with different data formats (Parquet, Avro).
- Understanding of data modelling techniques, NoSQL and RDBMS databases.
Nice-to-have
- Experience in advanced analytics environments.
- Deep knowledge of DevOps, observability, and performance tuning.
- Strong stakeholder management and ability to work in cross-functional teams.
Practical Information
- Location: Stockholm (40% remote allowed)
- Period: 13 Oct 2025 – 30 Jun 2026
- Utilization: 100%