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Data Engineer (DATABRICKS / PYSPARK)
Warsaw, Poland
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDevelop and maintain batch and near real-time data pipelines
Transform, validate and optimize data using Databricks, PySpark and SQL
Build, test and automate ETL processes and data workflows
Support Data Lakehouse implementation following engineering standards
Troubleshoot, optimize and monitor data pipelines
From the employer’s posting
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
Build, test, and automate ETL processes and data workflows
Support implementation of Data Lakehouse solutions following engineering standards and best practices
Troubleshoot, optimize, and monitor data pipelines
What you’ll bring
All qualificationsCore experience
- 2+ years in Big Data development and database design
- Strong hands-on SQL
- Strong Python development skills
- Hands-on PySpark experience
- Experience building pipelines in Databricks with Delta Lake and Medallion Architecture
Qualification wording
2+ years of experience in Big Data development and database design
Strong hands-on experience with SQL
Strong Python development skills
Hands-on experience with PySpark
Experience developing and maintaining data pipelines in Databricks
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Sigma Software is hiring
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Delta Lake
- S3
- PySpark
Where the posting names them
- Strong hands-on experience with SQL - Strong Python development skills - Hands-on experience with PySpark
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
- 2+ years of experience in Big Data development and database design - Strong hands-on experience with SQL - Strong Python development skills
WILL BE A PLUS - Experience with AWS services, including S3 Company Description
- Hands-on experience with PySpark - Experience developing and maintaining data pipelines in Databricks - Experience with Delta Lake
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.
- Experience developing and maintaining data pipelines in Databricks - Experience with Delta Lake - Experience with Medallion Architecture (Bronze, Silver, Gold layers)
- Strong Python development skills - Hands-on experience with PySpark - Experience developing and maintaining data pipelines in Databricks
Your next step
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
- 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
Qualifications
- 2+ years of experience in Big Data development and database design
- Strong hands-on experience with SQL
- Strong Python development skills
- Hands-on experience with PySpark
- Experience developing and maintaining data pipelines in Databricks
- Experience with Delta Lake
- Experience with Medallion Architecture (Bronze, Silver, Gold layers)
- Strong analytical and problem-solving skills
- Intermediate or higher English level
WILL BE A PLUS
- Experience with AWS services, including S3
Company Description
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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Poland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.