Data Engineer - Azure Data Marketplace @ Belvedere Recruitment at Belvedere Recruitment – Warszawa | Jobyssey

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

Location: Warsaw

Contract Type:3 Months

Job Type: Hybrid

Work on cutting-edge AI data marketplace technology

Lead data ingestion pipelines using Azure Data Factory and Databricks

Manager-level contract role with 8-10 years' experience required

Collaborate across teams on enterprise-scale data solutions

Shape world-class data products and services

Company Overview

Our client is a global professional services organisation delivering technology-enabled solutions across consulting, advisory and assurance services. They are building an advanced AI-powered data marketplace platform designed to transform how data assets are created, managed and consumed across the enterprise. The organisation invests heavily in innovation and technology, creating opportunities for experienced engineers to work on meaningful projects that impact business operations globally. Their commitment to professional development and collaborative working environment makes them an employer of choice for data engineering professionals.

They are seeking an experienced Data Engineer at Manager level to join their AI Data Marketplace team in Warsaw. This contract role offers the opportunity to work on sophisticated data ingestion pipelines using Azure technologies whilst contributing to the development of enterprise-scale data products.

Position Overview

As a Data Engineer, you will play a central role in developing and maintaining the data ingestion infrastructure for the AI Data Marketplace platform. You will design, build and optimise data pipelines that ensure stability, traceability and performance across the platform. Working collaboratively with cross-functional teams, you will help shape how data assets are created and consumed, directly impacting the quality and reliability of services delivered to internal stakeholders. This role combines technical expertise with strategic thinking to continuously improve data products and processes.

Benefits

Whilst specific benefits details are being confirmed, you'll join a globally recognised organisation that values professional development and technical excellence. You'll be immersed in a collaborative environment working alongside skilled engineers and data specialists on meaningful projects that advance AI and data marketplace capabilities.

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

Requirements

Azure Data Factory, Azure Databricks, Python, PySpark, SQL, Apache Spark, ETL, Data Lake, Data modelling

Explore more jobs

Company Overview

Position Overview

Benefits

Responsibilities

Requirements