Senior Data Engineer

Experis; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Medicover healthcare package

Multisport card

Group life insurance

Job summary

Experis is seeking an experienced Senior Data Platform Engineer for a 100% remote role. You will design and optimize cloud-based data platforms, develop pipelines with Python and PySpark, and deliver scalable solutions using Databricks or Azure Synapse.

Collaboration with stakeholders is essential to define data requirements and enable BI initiatives. The ideal candidate has hands-on Databricks experience and strong software development skills, with familiarity in BI tools like Power BI and

Qualifications

• Strong understanding of modern data platform architecture.
• Hands-on experience building solutions in Databricks using Python/PySpark (or Microsoft Fabric/Azure Synapse).
• Professional software development experience.
• Experience with Power BI or similar BI tools.

Responsibilities

• Design, build, and maintain modern data platform solutions.
• Develop and optimize data processing pipelines using Python and PySpark.
• Deliver scalable solutions using Databricks, Microsoft Fabric, or Azure Synapse.
• Collaborate with business and technical stakeholders to understand data requirements.
• Support reporting and analytics initiatives using BI tools.
• Contribute to data architecture design and best practices.
• Ensure high-quality, reliable, and efficient data solutions.

Skills

Data Platform Engineering

Python

PySpark

Communication

Team Collaboration

Tools

Databricks

Azure Synapse

Microsoft Fabric

Power BI

Snowflake

BigQuery

Azure

.NET

Job description

Senior Data Platform Engineer

Location: 100% Remote
Start Date: ASAP / within 1 month / flexible
Contract Type: B2B via Experis

About the Role

We are looking for an experienced Data Platform Engineer to join an international team and contribute to the design, development, and optimization of modern data platform solutions. This role is ideal for professionals who combine strong technical expertise with excellent communication skills and a passion for working with cloud-based data technologies.

Your Responsibilities

• Design, build, and maintain modern data platform solutions
• Develop and optimize data processing pipelines using Python and PySpark
• Deliver scalable solutions using Databricks, Microsoft Fabric, or Azure Synapse
• Collaborate with business and technical stakeholders to understand data requirements
• Support reporting and analytics initiatives using Business Intelligence tools
• Contribute to data architecture design and best practices
• Ensure high-quality, reliable, and efficient data solutions

Requirements

• Strong understanding of modern data platform architecture
• Hands-on experience building solutions in Databricks using Python/PySpark (alternatively Microsoft Fabric or Azure Synapse)
• Professional software development experience
• Experience with Power BI or similar Business Intelligence tools
• Excellent communication and collaboration skills

Nice to Have

• Experience with platforms such as Snowflake, BigQuery, or similar data solutions
• Experience designing end-to-end data platform architectures
• Knowledge of Microsoft technologies, including Azure, Azure Cloud Services, and .NET
• Familiarity with AI-assisted development environments
• Understanding of Agentic AI, agent-based programming techniques, and Model Context Protocol (MCP)

What We Offer

• B2B contract via Experis
• Fully remote work model
• International project environment
• Medicover healthcare package
• Multisport card
• Group life insurance
• Opportunity to work with modern cloud and data technologies