Data Engineer

Avanade

. Create, develop, and operate scalable, efficient, and dependable data pipelines .

Posted 9/15/2026full-timeWroclaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating scalable data pipelines and platforms, with a strong focus on data governance, quality, and security. Proficient in Azure cloud services and data engineering practices, including ETL and data modeling, while mentoring junior engineers.

Highest-signal resume keywords

Azure Cloud ServicesData Engineering PracticesPython and PySparkSQL ExperienceData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLData ModelingData WarehousingData GovernanceData Pipeline Development

Soft Skills

MentoringCollaboration

Tools & Technologies

Azure Data FactoryAzure Data LakeSQL DatabaseAzure DatabricksMS Fabric

Industry Keywords

Data ArchitectureData QualityData SecurityContainerizationOrchestration

Tech Stack

Tools & technologies

AzureCloudDockerETLKubernetesPySparkPythonSQLTensorflow

About the role

Key responsibilities & impact

Create, develop, and operate scalable, efficient, and dependable data pipelines
Deliver end-to-end data platforms, including data architecture and ETL implementations
Partner with data scientists, analysts, and engineering teams to integrate data and improve end-to-end performance
Apply best practices for data governance, quality, and security across the data estate
Tune and streamline data workflows to maximize reliability and throughput
Keep current with new trends and advancements in data engineering
Support and coach junior data engineers through mentoring and knowledge sharing

Requirements

What you’ll need

Hands-on commercial experience with Azure cloud and services, including Azure Data Factory, Data Lake, SQL Database, and Azure Databricks
Commercial project experience with Databricks
Python and PySpark experience for building and operating data solutions
SQL experience for querying, transforming, and validating data
Knowledge of core data engineering practices, including ETL, data modeling, data warehousing, and data governance
English at B2 level or higher
Hands-on experience with MS Fabric (nice to have)
Familiarity with containerization and orchestration using Docker/Kubernetes (nice to have)
Understanding of machine learning concepts and frameworks such as MLflow and TensorFlow (nice to have)
Knowledge or experience with LLMs and orchestration frameworks (nice to have)

Benefits

Comp & perks

Opportunity to grow your skills in advanced AI technologies