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SoftwareOne

Data Engineer - AWS

Warsaw, Poland

Work setup
Remote statedwork setup source
Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI.
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What you’ll work on

Full posting
  • Develop and maintain data warehouses and data platforms

  • Design, build, and optimize ETL processes, integrating data from multiple sources

  • Analyze data-related challenges and recommend the most effective technical solutions

From the employer’s posting
Key responsibilities Develop and maintain data warehouses and data platforms Design, build, and optimize ETL processes, integrating data from multiple sources
Develop and maintain data warehouses and data platforms Design, build, and optimize ETL processes, integrating data from multiple sources Analyze data-related challenges and recommend the most effective technical solutions
Design, build, and optimize ETL processes, integrating data from multiple sources Analyze data-related challenges and recommend the most effective technical solutions Troubleshoot and resolve technical issues across data environments

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Tools in this posting

  • python
  • aws
  • s3
  • sagemaker
  • spark
  • boto3
Source — Tool mentions in context
The role - Do you enjoy designing and building scalable data platforms on AWS that power analytics, AI, and business-critical solutions? - Are you ready to help organizations unlock the value of their data through AWS and AI-driven innovation?
- Do you enjoy designing and building scalable data platforms on AWS that power analytics, AI, and business-critical solutions? - Are you ready to help organizations unlock the value of their data through AWS and AI-driven innovation? - Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation?
Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI. Key responsibilities
What we need to see from you - Professional experience in data or cloud-focused role, such as Data Engineer, ML Engineer, Python Developer, or Cloud Engineer - Strong programming and data management skills, including Python (e.g., pandas, NumPy, boto3) and SQL
- Professional experience in data or cloud-focused role, such as Data Engineer, ML Engineer, Python Developer, or Cloud Engineer - Strong programming and data management skills, including Python (e.g., pandas, NumPy, boto3) and SQL - Hands-on experience designing and building data solutions using Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift
- Strong programming and data management skills, including Python (e.g., pandas, NumPy, boto3) and SQL - Hands-on experience designing and building data solutions using Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift - Interest or practical experience in Generative AI, including Amazon Bedrock, Large Language Models (LLMs), and cloud-based AI solutions
- Strong communication, presentation, and stakeholder management skills, with the ability to work directly with clients, present solutions clearly, and take ownership of deliverables - Curiosity and willingness to learn new cloud platforms, tools, and emerging technologies, with experience in Amazon SageMaker, Apache Spark, or Machine Learning workflows considered an advantage - Familiarity with AI Agents, autonomous workflows, RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, and AWS certifications (e.g., AWS Certified Cloud Practitioner, AWS Certified Developer, or AWS Certified Data Engineer) is a plus
- Curiosity and willingness to learn new cloud platforms, tools, and emerging technologies, with experience in Amazon SageMaker, Apache Spark, or Machine Learning workflows considered an advantage - Familiarity with AI Agents, autonomous workflows, RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, and AWS certifications (e.g., AWS Certified Cloud Practitioner, AWS Certified Developer, or AWS Certified Data Engineer) is a plus What we offer
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Location & working pattern

Warsaw, Poland

Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI.
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Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI.
Posting history
Status in our records
Active
First seen by us
Sep 7, 2026
Recorded sightings
3

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Skills in this posting

pythonawss3sagemakersparkboto3numpypandas

Job description

Why SoftwareOne?

SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI.

Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference.

Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers.


The role

  • Do you enjoy designing and building scalable data platforms on AWS that power analytics, AI, and business-critical solutions? 
  • Are you ready to help organizations unlock the value of their data through AWS and AI-driven innovation? 
  • Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation? 

 

Practical Information  

Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal 

 

As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI. 

 

Key responsibilities 

  • Develop and maintain data warehouses and data platforms 
  • Design, build, and optimize ETL processes, integrating data from multiple sources 
  • Analyze data-related challenges and recommend the most effective technical solutions 
  • Troubleshoot and resolve technical issues across data environments 
  • Estimate the effort required to deliver projects based on statements of work 
  • Translate business requirements into clear technical specifications 
  • Collaborate closely with clients and internal teams to successfully deliver project objectives 

 


What we need to see from you

  • Professional experience in data or cloud-focused role, such as Data Engineer, ML Engineer, Python Developer, or Cloud Engineer 
  • Strong programming and data management skills, including Python (e.g., pandas, NumPy, boto3) and SQL 
  • Hands-on experience designing and building data solutions using Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift 
  • Interest or practical experience in Generative AI, including Amazon Bedrock, Large Language Models (LLMs), and cloud-based AI solutions 
  • Strong communication, presentation, and stakeholder management skills, with the ability to work directly with clients, present solutions clearly, and take ownership of deliverables 
  • Curiosity and willingness to learn new cloud platforms, tools, and emerging technologies, with experience in Amazon SageMaker, Apache Spark, or Machine Learning workflows considered an advantage 
  • Familiarity with AI Agents, autonomous workflows, RAG (Retrieval-Augmented Generation), LangChainLlamaIndex, and AWS certifications (e.g., AWS Certified Cloud Practitioner, AWS Certified Developer, or AWS Certified Data Engineer) is a plus 

 

What we offer 

Our company benefits vary based on your location, but always include:  

  • Global company culture: We defined our 6 core values through our company culture (https://www.softwareone.com/en/our-story/our-values) 
  • A mentor who supports your successful start and is at your side with advice and action 
  • President’s Club: Recognition awarded by leadership and your peers 
  • Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationship 
  • Lifelong education: A variety of training and development opportunities 
  • Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future 

 


Job Function

Software & Cloud
Accommodations

SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.   
Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.  
  
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.