Data Engineer (DATABRICKS / PYSPARK)

Sigma Software sigmasoftware.design Open

Remote Warsaw Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Sigma Software. Remote, Poland · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SeniorityMid-level

LocationWarsaw

WorkplaceRemote

EmploymentFull-time

PostedNov 3, 2026

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Build and maintain batch and near-real-time pipelines for large volumes of marketing and advertising data
Use Databricks, PySpark and SQL to transform, check and tune data
Develop Lakehouse solutions and automate ETL workflows to meet engineering standards
Improve data quality and reliability, while monitoring and troubleshooting pipeline issues
Work with engineers, analysts and stakeholders to deliver scalable data solutions

What you bring

At least two years developing Big Data systems and designing databases
Strong SQL and Python skills, plus practical experience using PySpark
You have built and maintained pipelines in Databricks and worked with Delta Lake
You have used the Bronze, Silver and Gold layers of Medallion Architecture
Intermediate English or higher

Who this fits

This mid-level role suits an engineer with hands-on Databricks and PySpark experience who wants to work on batch and near-real-time data processing. The position is remote and based in Warsaw.

From the employer

We are looking for a Middle Data Engineer to join our team and contribute to building scalable data solutions for a leading AdTech and analytics company. In this role, you will work with modern Data Lakehouse architecture, high-load distributed systems, and cloud-native technologies while helping process large volumes of marketing and advertising data in batch and near real-time environments.

This is an excellent opportunity for engineers who want to deepen their expertise in Databricks, PySpark, Delta Lake, and scalable data platforms while collaborating with experienced data engineering professionals on enterprise-scale solutions.

About Sigma Software: Sigma Software is a global IT consulting company delivering software development and IT consulting services to clients worldwide across multiple industries.

CUSTOMER

Our customer is a leading AdTech and data analytics company specializing in high-load platforms for large-scale data processing and analytics. The company develops cloud-based solutions that help businesses manage data, build analytical models, and generate actionable insights for marketing and advertising operations.

The customer operates globally and focuses on scalable microservices architecture, modern engineering practices, and enterprise-grade analytics platforms.

PROJECT

The project focuses on developing and supporting scalable Data Lakehouse solutions for processing large volumes of marketing and advertising data. The team works with batch and near real-time data pipelines, cloud-native infrastructure, and modern big data technologies.

Key Technologies: Databricks, PySpark, Python, SQL, Delta Lake, Medallion Architecture, ETL Pipelines, AWS S3

Develop and maintain data pipelines for processing large volumes of data in batch and near real-time environments
Work with Databricks, PySpark, and SQL to transform, validate, and optimize data
Support implementation of Data Lakehouse solutions following engineering standards and best practices
Build, test, and automate ETL processes and data workflows
Improve data quality, organization, and reliability across platforms
Collaborate with engineers, analysts, and stakeholders to deliver scalable solutions
Troubleshoot, optimize, and monitor data pipelines
Stay up to date with modern data engineering technologies
Ensure deliverables meet quality standards and project requirements