Senior Data Engineer, Azure Data Marketplace (Hybrid)

Belvedere; Poland; Hybrid; PLN 268,000 - 335,000; Full time

Benefits offered by this job

Professional development

Hybrid work environment

Job summary

Belvedere is seeking an experienced Data Engineer (Manager level) to join the AI Data Marketplace team in Warsaw on a 3-month hybrid contract. You will design, build and optimise data ingestion pipelines using Azure Data Factory and Databricks, collaborating across ingestion, consumption and activation teams to deliver enterprise-scale data solutions.

The role requires 8–10 years in data engineering, deep expertise in Azure Data Factory, Azure Databricks, Python, PySpark and SQL, and strong

Qualifications

• 8-10 years of experience in data engineering roles.
• Expert knowledge of Azure Data Factory pipeline development and management.
• Proficiency with Azure Databricks, notebooks, jobs and clusters.
• Strong programming skills in Python, PySpark and SQL.
• Experience with Apache Spark for big data processing.
• Knowledge of ETL processes and data transformation techniques.
• Familiarity with Azure storage solutions including SQL Database, Blob Storage and Data Lake Storage.
• Understanding of data warehousing principles and scalable data modelling.
• Experience with PL/SQL.
• Ability to write modular, testable and maintainable code.
• Strong collaboration and communication skills.
• Experience working in cross-functional team environments.

Responsibilities

• Identify and develop opportunities to improve data assets and services
• Design and build data ingestion pipelines focused on stability and optimisation
• Develop, test and maintain robust data pipelines and processes
• Write resilient, fault-tolerant and modular code for high availability
• Research and implement new methods to build world-class data products
• Collaborate across Ingestion, Consumption and Activation teams
• Manage Azure Data Factory pipelines, activities, triggers and data flows
• Process large datasets using Azure Databricks and Apache Spark
• Transform and integrate data from multiple sources
• Ensure data pipeline traceability and monitoring

Skills

Azure Data Factory

Azure Databricks

Python

PySpark

SQL

Apache Spark

ETL processes

Azure Storage

Data warehousing

PL/SQL

Modular code

Cross-functional collaboration

Tools

Azure Data Factory

Azure Databricks

Azure SQL

Data Lake Storage

Job description

Belvedere is seeking an experienced Data Engineer (Manager level) to join the AI Data Marketplace team in Warsaw on a 3-month hybrid contract. You will design, build and optimise data ingestion pipelines using Azure Data Factory and Databricks, collaborating across ingestion, consumption and activation teams to deliver enterprise-scale data solutions.

The role requires 8–10 years in data engineering, deep expertise in Azure Data Factory, Azure Databricks, Python, PySpark and SQL, and strong