Data Engineer? Utvecklas med experterna på Brightlytix!
Core
Building robust, scalable data solutions and managing the full data lifecycle from collection to analysis for clients in construction, e-commerce, and hospitality.
Role type
Data Engineer
Builds
Data pipelines, integrations, and scalable data solutions for client projects and internal products.
Domain
Data Engineering / Cloud Platforms
Deliverable
production ML models
Required skills
SQL, Python, Data Warehousing, Cloud Platforms (Azure, AWS, GCP), Data Modeling (Kimball, Data Vault), Git, Snowflake, Databricks
Preferred skills
dbt, Airflow, Matillion, Software Development, AI/ML libraries (Scikit, TensorFlow), Infrastructure as Code (Docker, Terraform, Bicep), BI Tools (Power BI, Tableau, Grafana), CI/CD
Technologies
Snowflake, Databricks, Azure, AWS, GCP, Fabric, BigQuery, dbt, Airflow, Matillion, Docker, Terraform, Bicep, Power BI, Tableau, Grafana
Responsibilities
Extract data from various source systems, model and transform large datasets, build integrations and pipelines, collaborate with clients to translate business needs into technical solutions, contribute to internal InHouse products.
Seniority
Mid-level (2-3 years experience)