Junior Data Engineer - Azure Databricks & Lakehouse

Miratech; Maryland; Remote; EUR 28,000 - 42,000; Full time

Benefits offered by this job

Health insurance

Relocation program

ForeverRemote work culture

Job summary

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. You will develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, driving analytics and BI initiatives.

You'll collaborate with senior engineers, optimize data models, and contribute to scalable cloud-native solutions in a flexible remote work environment, with opportunities for growth and hands-on learning.

Qualifications

• 2+ years of experience in Data Engineering or Data Warehouse development.
• Experience with Azure Databricks.
• Experience developing data pipelines using PySpark and Spark SQL.
• Understanding of distributed data processing and big data concepts.
• Good SQL skills and experience with SQL Server relational databases.
• Experience building data pipelines using Azure Data Factory.
• Exposure to data processing and performance optimization concepts.

Responsibilities

• Support and evolve existing SQL Server data platforms and ETL solutions.
• Develop and maintain data pipelines using Azure Databricks.
• Build and optimize data transformations using PySpark and SQL in Databricks.
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory.
• Integrate data from multiple sources into the data platform and analytical layers.
• Maintain data models and data warehouse structures for analytics.
• Ensure data quality, scalability, and performance of large-scale data processing pipelines.
• Collaborate with BI teams to support Power BI and reporting platforms.

Skills

PySpark

Spark SQL

SQL

Tools

Azure Databricks

Azure Data Factory

Job description

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. You will develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, driving analytics and BI initiatives.

You'll collaborate with senior engineers, optimize data models, and contribute to scalable cloud-native solutions in a flexible remote work environment, with opportunities for growth and hands-on learning.