Data Engineering Jobs in Bulgaria
There are 78 open Data Engineering jobs in Bulgaria on freehire right now. 21 of them were posted recently. The skills employers ask for most often are ai, cloud and python.
Most requested skills
- ai 73%
- cloud 72%
- python 67%
- sql 67%
- aws 54%
- data-engineering 51%
- data-pipelines 51%
- etl 51%
How the work is done
- Remote 22 · 28%
- Hybrid 17 · 22%
- Onsite 1 · 1%
Visa sponsorship offered in 53% of the 19 postings that state a position on it.
Seniority
- Senior 38
- Lead 9
- Junior 2
- C-level 1
Who is hiring
- 1000+ employees 25
- 501-1000 employees 16
- 201-500 employees 3
- 11-50 employees 1
English level
- C1 71%
- B2 29%
Share of the postings that state a required level (at least 20% of this market do).
Senior Data Engineer
Senior Data Engineer builds and maintains scalable cloud-native data pipelines and platform tooling (e.g., Airflow, Terraform) to power Ocado’s automated grocery fulfillment and AI-driven analytics.
Lead Data Engineer
Lead a team to design and implement enterprise-scale data pipelines and integrations for AI and automation projects, assessing feasibility and recommending cloud platforms like Azure or AWS.
Senior Data Engineer
Senior Data Engineer designs and builds ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Senior Data Engineer (ADB, Python)
Senior Data Engineer builds and optimizes PySpark applications on Databricks for a Big Four firm, using Python, Azure Cloud, and microservices to process and transform enterprise data at scale.
Lead Data Engineer
Lead a team to design and implement scalable data pipelines and integrations for enterprise clients, focusing on ETL/ELT, cloud platforms, and AI/ML readiness.
Senior Data Engineer
Senior Data Engineer builds and optimizes ETL/ELT pipelines, data lakes, and reporting tools using Python, SQL, Spark, and AWS services for a vehicle lifecycle solutions provider.
Senior Data Engineer
Senior Data Engineer building high-volume batch and streaming data pipelines on AWS and GCP for a marketplace/travel client, using Python, Spark, Airflow, and BigQuery.
Senior Data Engineer
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold) using SQL/ELT patterns in BigQuery, orchestrating workflows with Airflow while ensuring data quality, governance, and integration with downstream systems for a global marketplace platform.
Senior Data Engineer
Senior Data Engineer designs and develops high-volume batch/streaming data ingestion pipelines on AWS/GCP, leads teams, and collaborates with cross-functional groups; core technologies include Python/Java/Scala, SQL/NoSQL databases, Hadoop, Spark, and Airflow.
Senior/Lead Data Engineer (ADB)
Senior/Lead Data Engineer building and optimizing Spark/PySpark applications on Databricks for an Exadel client project, using Python, Delta Tables, and Azure Cloud in a collaborative, cross-functional team.
Senior/Lead Data Engineer (ADB)
Exadel is seeking a Senior/Lead Data Engineer to design and maintain scalable Spark applications and data pipelines for a major professional services client. The role involves utilizing PySpark, Databricks, and Python to optimize data processing workflows within an Azure-based microservices environment.
Mid/Senior Data Engineer (AWS)
Designs, builds, and maintains scalable AWS-based data pipelines and ELT workflows, ensuring reliability, performance, and collaboration with cross-functional teams.
DevOps Data Engineer (Digital Marketing sphere)
Builds and maintains scalable, containerized data infrastructure on Kubernetes and Linux, ensuring reliability of batch and streaming pipelines using Spark, Python, and cloud platforms.
Senior Data Engineer (Microsoft Fabric)
Build and maintain production-ready data pipelines using Microsoft Fabric, Python, and PySpark to support AI-driven analytics and solutions.
Snowflake Data Engineer
Build, deploy, and optimize data warehouses, data lakes, and ETL pipelines using SQL, Python, and cloud-based data platforms like Snowflake for Fortune 500 clients.
Azure/AWS/Databricks Data Engineer
Designs and builds cloud-based data pipelines and warehouses using Azure/AWS and Databricks to deliver analytics solutions for retail and AI-powered projects.
AWS Data Engineer with Databricks
Design and build scalable cloud data pipelines on AWS with Databricks, using Python, PySpark, and Delta Live Tables to process high-volume logistics and e-commerce data.
Data Engineer with Databricks
The Data Engineer will build, maintain, and optimize scalable data pipelines and analytical platforms using Python, Databricks, and PySpark within Azure cloud environments. The role involves collaborating with cross-functional teams to deliver data products and implementing MLOps and CI/CD practices.