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Senior Data Developer (Spark, Airflow) REMOTE IN BULGARIA Highly competitive salary and bonus and unbeatable benefits package
Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond.
Having long experience in recruitment we value above all those things that make us successful because of our clients, candidates and partners success: trustworthiness, good communication, Can do-attitude, finding solutions, being flexible; being available. We also have genuine passion for what we do. The client is one of the leading IT service companies in DACH/Europe.
As a Senior Data Engineer, you will be responsible for designing, building, and optimizing modern data platforms and pipelines. You will work closely with data architects, analysts, and software engineers to deliver scalable and reliable data solutions using modern cloud and big data technologies, with a strong focus on Databricks-based data platforms.
Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond.
Having long experience in recruitment we value above all those things that make us successful because of our clients, candidates and partners success: trustworthiness, good communication, Can do-attitude, finding solutions, being flexible; being available. We also have genuine passion for what we do. The client is one of the leading IT service companies in DACH/Europe.
As a Senior Data Engineer, you will be responsible for designing, building, and optimizing modern data platforms and pipelines. You will work closely with data architects, analysts, and software engineers to deliver scalable and reliable data solutions using modern cloud and big data technologies, with a strong focus on Databricks-based data platforms.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and data platforms
- Build and optimize ETL/ELT processes for large-scale data processing
- Work with Databricks to develop and manage data workflows and analytics solutions
- Implement data processing solutions using Apache Spark and modern data engineering practices
- Collaborate with data scientists, analysts, and business stakeholders to enable data-driven insights
- Ensure data quality, reliability, and performance of data pipelines
- Contribute to architecture decisions and data platform improvements
- Mentor junior engineers and promote best practices in data engineering
- 5+ years of experience in Data Engineering or Big Data development
- Hands-on experience with Databricks and Apache Spark
- Strong experience building ETL/ELT pipelines
- Proficiency in Python for data processing
- Experience with SQL and data modeling
- Experience working with cloud platforms (AWS, Azure, or GCP)
- Familiarity with data lake or lakehouse architectures
- Experience with version control systems (e.g., Git) and CI/CD practices
- Strong analytical and problem-solving skills
- Very good communication skills in English
- Snowflake or Terraform
- Experience with Delta Lake and modern lakehouse architectures
- Experience with Azure Data Factory, Airflow, or similar orchestration tools
- Knowledge of streaming technologies (Kafka, Spark Streaming, etc.)
- Experience with data governance and data quality frameworks
- German language skills will be considered an advantage
- Access to trainings and courses
- Personal notebook from the first day on
- Opportunity to work on exciting projects for our internationally known customers
- flexible working hours
- home office (100%)
- health insurance
- technical equipment for home office
- 25 days annual leave