About this role
Based in Sofia, the Senior Data Engineer position at Valtech involves designing, building, and optimizing modern cloud-based data platforms to support analytics, AI, and data products. This role is well-suited for an experienced data professional who wants to shape business requirements and work with either AWS or Azure cloud ecosystems.
Role Overview
Valtech is seeking a Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. The professional in this position will work on scalable batch, streaming, and near-real-time pipelines while ensuring robust data governance, security, and observability. Candidates can choose to work within either the AWS ecosystem with Databricks or the Azure and Fabric ecosystem with Databricks or native Fabric tooling.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Valtech describes itself as the experience innovation company and a trusted partner to recognized global brands. The organization offers an environment designed for continuous learning, meaningful impact, and professional growth. Valtech maintains a values-driven culture centered around sharing, caring, and daring, alongside a workplace culture that fosters creativity, diversity, autonomy, and a borderless global framework.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Senior Data Engineer role located?
The position is located in Sofia.
What cloud platforms are required for the role?
Candidates must have deep expertise in one of two core tracks: AWS with Databricks, or Microsoft Azure and Fabric with Databricks or native Fabric tooling.
Do I need experience in both AWS and Azure?
No, experience in both is not required. Candidates are staffed on projects matching their strongest platform.
What programming languages are needed?
The role requires strong programming skills in Python and SQL.
What technologies are used for data pipelines?
The position involves working with Apache Spark, Delta Lake, Airflow, dbt, and Databricks Workflows or Azure Data Factory.