Lead Data Engineer: Azure Data Factory & Databricks

BELVEDERE; Warszawa; Hybrid; PLN 200,000 - 260,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

BELVEDERE is seeking a senior Data Engineer in Warsaw to design, build and optimise data ingestion infrastructure for an AI Data Marketplace platform. You will develop robust pipelines, ensure stability and performance, and work with cross-functional teams to shape data products used across the enterprise.

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

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.

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

PySpark

Python

SQL

Apache Spark

Data modelling

Data warehousing

Cross-functional collaboration

Communication

Tools

Azure Databricks

Azure Data Factory

Apache Spark

Job description

BELVEDERE is seeking a senior Data Engineer in Warsaw to design, build and optimise data ingestion infrastructure for an AI Data Marketplace platform. You will develop robust pipelines, ensure stability and performance, and work with cross-functional teams to shape data products used across the enterprise.

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