Data Engineer (MS Azure) - Future Opportunities

This is "future opportunities" ad - we will begin recruitment process after summer (September). You can expect to hear from us at that time.

The role 100% remote so it is available for Candidates from all over the Poland.

Do you love making sure that information is available and consumable? So do we.

Are you passionate about transforming raw data into actionable insights? We're seeking a Data Engineer with expertise in the Microsoft Azure Data realm, including Delta Lake, Databricks, and ETL processes. 

Key Responsibilities: 

• Design, build, and maintain scalable, efficient, and reliable data pipelines using Databricks and Azure services (e.g., Azure Data Lake, Azure SQL Database, Azure Databricks, Azure Data Factory). 

• Lead the end-to-end development of data architectures and ETL processes to support data-driven decision-making across the organization. 

• Collaborate with data scientists, analysts, and other engineering teams to ensure data integration and optimization. 

• Implement data governance, data quality, and data security best practices across data systems. 

• Mentor and provide guidance to junior data engineers, fostering a culture of continuous learning and improvement. 

• Optimize performance of data workflows, troubleshoot issues, and ensure the reliability of data solutions. 

• Stay up-to-date with the latest developments in cloud technologies, data engineering best practices, and emerging tools and frameworks

Required Skills and Qualifications: 

• Extensive experience with Databricks and Azure services (e.g., Azure Data Lake, Azure SQL Database, Azure Databricks, Azure Data Factory). 

• Strong expertise in SQL, Python and other data engineering programming languages. 

• Proven experience in building and managing complex data pipelines and distributed data architectures. 

• Solid understanding of data engineering concepts, such as ETL, data modeling, data warehousing, and data governance. 

• Ability to optimize large-scale data workflows and troubleshoot complex data issues. 

• Strong leadership and communication skills, with the ability to guide teams, collaborate with cross-functional stakeholders, and communicate technical concepts to non-technical audiences. 

• Proven track record of successfully delivering large-scale data projects and systems.

Preferred Skills: 

• Experience with other Azure tools such as Azure Microsoft Fabric, Azure Synapse Analytics, Azure IoT Hub, Azure HDInsight, Kafka and Azure Stream Analytics. 

• Experience with containerization (Docker/Kubernetes) and orchestration tools (e.g., Apache Airflow). 

• Familiarity with DevOps principles and CI/CD pipelines for data engineering workflows. 

• Experience with data warehouses and real-time data processing frameworks. 

• Experience with LLMs and orchestration frameworks (e.g., LangChain, Semantic Kernel) is a plus.

• Exposure to machine learning concepts and frameworks (e.g., MLflow, TensorFlow) is a plus. 

We offer: 

• Remote/hybrid work – you choose!

• Access to Microsoft certifications, trainings and e-learning platforms (Pluralsight, Rosetta Stone)

• Career/development path – every employee has his/her Mentor

• Chill rooms at the offices: table football, game console, board games

• Free parking spot at the offices

• We participate in charity programs: Szlachetna Paczka, Business Run

• Sports section on the Strava: Poland Club | Avanade Poland Running on Strava

• Company events (Team outings, Meetups) - check our Instagram! Avanade Poland

These are just a few of the Avanade benefits, let's talk about the others!