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Data Engineer - AWS
Reads like a ML Engineer role: putting models into production.
- Pay
- Pay not listed
- Work setting
Remote — work setting 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.
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Valid Visa for
What you’ll work on
Full postingDevelop and maintain data warehouses and data platforms
Translate business requirements into clear technical specifications
Design, build, and optimize ETL processes, integrating data from multiple sources
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
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
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
Benefits in the posting
Full benefits wording- Our company benefits vary based on your location, but always include:
- Lifelong education: A variety of training and development opportunities
- Job Function
- Services Accommodations
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 2, 202632 days ago
- Recorded sightings
- 121
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 30, 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
SoftwareOne is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
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
- Redshift
- S3
- SageMaker
- Spark
- boto3
- NumPy
- pandas
Where the posting names them
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
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
- 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
- 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
- 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
Your next step
Complete your application on careers-softwareone.icims.com. The employer’s form will show what is required.
Applying through iCIMS
- You start with your email. New applicants then create a login, and returning ones sign in.
- Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
- Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Why SoftwareOne?
The role
What we need to see from you
Job Function
Services
Accommodations
SoftwareOne is a global software and cloud solutions provider and distributor, powered by around 12,000 people across more than 70 countries. But what really makes us SoftwareOne is our people: curious minds, different perspectives, and talented teams working together to solve real challenges and create meaningful impact. Here, you’ll have the opportunity to grow, explore new possibilities, and build a career that’s uniquely yours, while helping shape what’s next in technology.
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), 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
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
- 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
Services
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
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.
- Work authorization
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.