Data Engineer - AWS

SoftwareOne; Polska; A distancia; PLN 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentor support

President’s Club

Flexible work environment

Lifelong learning opportunities

Hire to Grow

Descripción de la vacante

SoftwareOne is seeking a Data Engineer - AWS to design, build, and optimize scalable data platforms and data warehouses on AWS to support analytics, AI, and business initiatives. You will transform requirements into robust solutions, integrate data from multiple sources, and guide data architecture with best practices.

Based in Poland and working remotely, you will collaborate with clients and cross-functional teams to deliver high-quality data solutions leveraging AWS services and emerging

Formación

• Experience in data or cloud-focused role (Data Engineer, ML Engineer, Python Developer, or Cloud Engineer).
• Proficient in Python and SQL.
• Hands-on experience with AWS data services: S3, Glue, Athena, Redshift.
• Interest or practical experience in Generative AI and cloud AI solutions.
• Familiarity with ML workflows and data engineering best practices.

Responsabilidades

• Develop and maintain data warehouses and data platforms.
• Design, build, and optimize ETL processes across sources.
• Analyze data challenges and propose robust technical solutions.
• Troubleshoot and resolve issues across data environments.
• Translate business requirements into clear technical specifications.
• Collaborate with clients and internal teams to deliver project objectives.

Conocimientos

Python

SQL

AWS services

Generative AI

LangChain

Machine Learning workflows

Herramientas

Amazon S3

AWS Glue

Amazon Athena

Amazon Redshift

Amazon SageMaker

Apache Spark

Descripción del empleo

Intro

• 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 joiningaleading 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 responsibilitie s

• 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

Job Requirements

• 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 )
• Amentorwho 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 oftraining 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

Company description

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.