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APEX – Data EngineerSCOR • Bucuresti - Ilfov, Romania
APEX – Data Engineer

APEX – Data Engineer

SCOR • Bucuresti - Ilfov, Romania
24 days ago
Job description

Job Summary

We are seeking a highly skilled Senior Data Engineer to join the APEX engineering team and contribute to the design, development, and evolution of our next-generation data platform.

The successful candidate will play a key role in building scalable and reliable data pipelines on Databricks, leveraging PySpark and Python to process large-scale datasets and support critical business processes. The role requires close collaboration with Backend Engineering teams to integrate data services with a Java-based ecosystem through APIs and microservices.


Data Platform Development:

  • Design, develop, and maintain enterprise-grade data pipelines using PySpark on different systems as Databricks.
  • Build efficient ETL/ELT processes for large-scale data ingestion, transformation, and delivery.
  • Design and optimize Delta Lake data models and storage structures.
  • Implement data quality controls, reconciliation mechanisms, and monitoring solutions.
  • Analyze and optimize Spark workloads for performance and cost efficiency.

Backend Integration:

  • Develop integrations between Databricks workloads and Java/Spring Boot applications.
  • Design and consume REST APIs for data exchange between platform components.
  • Support event-driven and service-oriented architectures.
  • Collaborate with backend teams to ensure end-to-end data flow reliability and scalability.

Software Engineering Excellence:

  • Develop reusable Python frameworks and libraries to standardize data processing.
  • Apply software engineering best practices including clean code, testing, code reviews, and documentation.
  • Contribute to CI/CD implementation and deployment automation.
  • Participate in architecture reviews and technical design discussions.
  • Strong Adoption of AI tools, AI agents and Agentic AI to bring more efficiency to deliver value. Usage of AI within databricks. Proactively propose news usage / AI tools on our technical environment being open minded.

Operational Excellence:

  • Ensure reliability, observability, and supportability of production pipelines.
  • Investigate and resolve performance, stability, and data consistency issues.
  • Participate in production support and root cause analysis activities.
  • Implement monitoring and alerting mechanisms across the data platform.

Leadership & Collaboration:

  • Collaborate with architects, product owners, business analysts, and development teams.
  • Contribute to technical roadmaps and platform modernization initiatives.

Technical Skills:

  • 7+ years of experience in Data Engineering or Software Engineering.
  • Strong expertise in: DatabricksApache Spark / PySparkPythonSQL
  • Proven experience designing and implementing enterprise data pipelines.
  • Strong understanding of: Delta LakeData ModelingData QualityMetadata ManagementData Governance
  • Experience integrating data platforms with Java/Spring Boot applications.
  • Solid knowledge of REST APIs and Microservices architectures.
  • Experience with Git and CI/CD practices.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to lead technical discussions and influence architecture decisions.
  • Self-driven, proactive, and results-oriented mindset.
  • Strong collaboration skills within multicultural and distributed teams.

Technical Environment:

  • Data Platform: Databricks, Dataworks
  • Languages: Python, PySpark, SQL, Java
  • Backend: Spring Boot, REST APIs
  • Cloud: Microsoft Azure, Alibaba
  • Storage: Azure storage, Parquet
  • DevOps: Azure DevOps, Git
  • Monitoring: Grafana, ELK
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APEX – Data Engineer • Bucuresti - Ilfov, Romania

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