Senior Data Engineer (Databricks Migration)

Kraków, PolandRemoteFull-time5+ yrs experiencePosted 1mo ago

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Job description

Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
Analyze existing ETL / ELT workloads and define migration approaches
Develop and optimize data pipelines processing large volumes of retail and analytical data
Implement incremental processing strategies and scalable transformation frameworks
Build and maintain Spark-based data processing solutions using PySpark
Design and maintain medallion architecture layers including Bronze, Silver, and Gold
Implement data governance and security best practices using Unity Catalog
Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
Participate in architecture discussions and technical solution design
Develop reusable data platform components and engineering standards
Conduct code reviews and contribute to platform reliability and maintainability
Troubleshoot and optimize complex SQL and Spark workloads
Support production deployments and platform modernization activities

5+ years of professional experience as a Data Engineer
Strong programming skills in Python and advanced SQL
Hands-on commercial experience with Databricks
Strong knowledge of Apache Spark, primarily PySpark
Experience designing and building modern cloud-based data platforms
Experience developing ETL / ELT pipelines and large-scale data processing solutions
Hands-on experience with Delta Lake
Experience with Spark Declarative Pipelines
Experience with cluster monitoring, metrics analysis, and performance optimization
Strong understanding of distributed data processing architectures
Solid understanding of data warehousing concepts and dimensional modeling
Experience with Airflow or similar orchestration tools
Experience optimizing complex analytical SQL workloads
Experience implementing CI / CD practices for data engineering platforms
Strong troubleshooting and performance optimization skills
Ability to work collaboratively in cross-functional international teams
Upper-Intermediate or higher English level

WILL BE A PLUS

Experience working with GCP cloud services
Experience with AWS or Azure cloud platforms
Experience in retail analytics or pricing optimization domains
Experience supporting machine learning or AI-related data workloads
Experience with platform modernization and cloud migration initiatives

PERSONAL PROFILE

Strong analytical and problem-solving mindset
Proactive and ownership-driven approach
Ability to work independently and collaboratively
Good communication and stakeholder collaboration skills
Passion for scalable data engineering and modern data platforms
Interest in continuous learning and technology innovation

Job details are sourced from the employer's original posting.

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About the company

Sigma Software

We are looking for a Senior Go Developer to join our dynamic team and work on cutting-edge AdTech solutions. This role offers the opportunity to experiment with AI, LLMs, and emerging technologies while solving complex challenges in large-scale data processing.  CUSTOMER Our customer is a global leader in contextual advertising with more than 500 employees worldwide. They specialize in delivering highly relevant ads by leveraging AI, real-time technology, and large-scale data processing. Operating in the AdTech industry, they are recognized for innovation in Connected TV (CTV) advertising. The team you will join works with the agility of a startup while benefiting from the resources of a global organization. PROJECT You will contribute to the development of a smart advertising platform that processes terabytes of data to understand audiences and deliver precise, contextual ads. The platform combines AI, LLMs, and emerging technologies to push the boundaries of CTV advertising. In this role, you will own innovation end-to-end — from research and prototyping to delivering production-ready solutions.

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Industry: AdTech
Open roles: 49