Avenga

Senior Data Engineer

Avenga

full-time

Posted on:

Location Type: Remote

Location: Poland

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Job Level

Senior

Tech Stack

AzureCloudETLInformaticaPythonSpark

About the role

  • Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.
  • Implement and maintain data solutions across the Azure Data Platform (Data Lake, Databricks, etc.).
  • Develop and maintain APIs supporting data ingestion, data sharing, and interoperability.
  • Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions.
  • Ensure data quality, security, and compliance across all solutions.
  • Integrate data solutions into existing business processes and cross-functional systems.
  • Continuously improve performance, cost-efficiency, and scalability of data systems.

Requirements

  • Minimum of 4 years of professional experience as a Data Engineer
  • Strong knowledge in IICS stack (Informatica Intelligent Cloud Services)
  • Strong expertise in Azure Databricks, Python, Spark
  • Solid experience with Azure Data Services, such as: Azure Data Lake and Azure Data Factory
  • Experience in ingestion tools like: Qlik Recplicate / MQ / MQCC
  • Experience with API development (REST/JSON or equivalent).
  • Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
  • Familiarity with CI/CD pipelines and version control (Git, etc.).
Benefits
  • Private healthcare
  • Sports card
  • Private insurance
  • Cafeteria system
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAzure DatabricksSparkETL processesdata modelingdata architectureAPI developmentRESTJSONIICS stack
Soft Skills
collaborationrequirement gatheringcommunicationproblem-solvingperformance improvement