CLOUD DATA ENGINEER (AWS)

Reply Group; Katowice; On-site; PLN 70,000 - 110,000; Full time

Benefits offered by this job

Medical care

Benefits platform with a monthly budget

Training opportunities

Language courses

Company events

Job summary

A leading IT solutions provider is looking for a Cloud Data Engineer (AWS) in Katowice. This position involves designing, developing, and maintaining cloud data platforms while collaborating with various stakeholders. Ideal candidates should have strong AWS experience, proficiency in Python, and hands-on skills with ETL processes. The role offers a hybrid work model with monthly visits to the office, various benefits, and opportunities for professional development.

Qualifications

• Strong experience with AWS cloud services is essential.
• AWS Certification (Associate or Professional level preferred) is needed.
• Experience as a Data Engineer or ETL Developer is required.
• Good written and spoken English and Polish skills are necessary.

Responsibilities

• Design and implement cloud-based data processing solutions in AWS.
• Develop and maintain ETL/ELT pipelines.
• Build and optimize data workflows using PySpark.
• Monitor, troubleshoot, and improve data pipeline performance.

Skills

AWS cloud services

Python programming

PySpark

ETL pipeline design

Data lakes and data warehouse architecture

Git

CI/CD practices

English

Polish

Education

Bachelor's or master's degree in Computer Science, Engineering, IT, or related field

Tools

AWS Glue

Job description

We are looking for a Cloud Data Engineer (AWS) to join our team and contribute to the design, development, and maintenance of modern cloud data platforms.

You will work on building scalable data solutions in AWS, supporting data processing pipelines, and helping transform business requirements into reliable and efficient cloud architectures. The role involves collaboration with software engineers, data engineers, and project stakeholders throughout the full lifecycle of data platform development.

You will have the opportunity to design and implement ETL pipelines, manage cloud infrastructure, and optimize distributed data processing using modern big-data technologies.

• Design and implement cloud-based data processing solutions in AWS
• Develop and maintain ETL/ELT pipelines.
• Build and optimize data workflows using PySpark.
• Work with AWS Glue jobs and data catalog.
• Monitor, troubleshoot, and improve data pipelines performance.
• Collaborate with teams to translate business requirements into data solutions.
• Maintain documentation and best practices for data platforms.
• MEDICAL CARE
• BENEFITS PLATFORM
• TRAINING OPPORTUNITIES
• LANGUAGE COURSES PLATFORM
• COMPANY EVENTS
• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choosemedical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms),cinema tickets, shop vouchers, discounts and many more.
• Language Courses –you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
• Regular and systematic furthertraining opportunities - both internallyand from external providers. We support your ongoing learning and development.
• Cooperation within an internal community is our everyday reality. We havenetworking events, coding challenges, and company parties for different occasions.

Qualifications

• Educational Background: Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
• Strong experience with AWS cloud services.
• AWS Certification (Associate or Professional level preferred).
• Experience as a Data Engineer or ETL Developer.
• Strong proficiency in Python programming.
• Practical experience with PySpark and distributed data processing
• Hands-on experience with AWS Glue.
• Designing and maintaining ETL pipelines.
• Good understanding of data lakes and data warehouse architecture.
• Experience with version control systems (Git) and familiarity with CI/CD practices.
• Good written and spoken English, Polish.
• Openness to hybrid work and regular visits in Katowice office, once every two months.

About Machine Learning Reply

Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure topics, to processing data with quality assurance using Machine Learning algorithms. Machine Learning Reply has extensive expertise in the field of Data Science in all key industries of German HDAX companies.

Machine Learning Reply empowers clients to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on distributed open source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists and engineers.

How to become a Replyer

Level 1

Your application

You found an opportunity that suits you and your abilities? Perfect! Use our application form to send us your resume and credentials. Once we received your documents, you will get a confirmation via email.

Level 2

Our reply

We will now review your application and come back to you as soon as possible. If it’s a match, we will contact you for an interview.

Level 3

Your interview

Is it a fit? Do we match your expectations? What about the job requirements and the workplace? All that will be covered in the interview. If more than one Reply company is suitable for you, you have the possibility to participate in several interviews!