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Senior Data Engineer

Roles & Responsibilities

  • 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.

Requirements:

  • 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.

Job description

This is us


At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

You will design, build, and optimize data pipelines and contribute to the development of scalable data products in area of Sales. This role is hands-on, highly collaborative, and ideal for someone who enjoys turning complex data challenges into reliable, production-grade solutions.

This is you

  • 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.).

This is your 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.

What awaits you at Avenga?

  • Private healthcare

  • Sports card

  • Private insurance

  • Cafeteria system

    At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.


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