Data Engineer

RPS Softwares AB; Sweden; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

RPS Softwares AB is seeking an experienced Data Engineer to join the Data Infrastructure team and help build a scalable, robust, and self-service analytics platform.

The role focuses on maintaining data ingestion pipelines, designing scalable data infrastructure, and collaborating across teams to resolve platform challenges and improve reliability, observability, and performance.

Qualifications

• 3+ years of professional experience in Data Engineering or a closely related field.
• Experience with data orchestration tools such as Apache Airflow.
• Proven experience working with large-scale datasets.
• Strong experience designing and developing complex ETL/ELT pipelines.
• Hands-on experience with at least one major cloud platform: GCP, AWS, or Azure.
• Strong programming skills in Apache Spark using Scala and Python.
• Experience with CI/CD practices and tools, such as Jenkins and Git.
• Strong understanding of software engineering principles, development practices, testing, and version control.

Responsibilities

• Maintain, enhance, and optimize data ingestion pipelines responsible for billions of events per day within SLAs.
• Design, build, and operate scalable data pipelines and infrastructure.
• Support engineering teams in developing and optimizing complex data pipelines.
• Work with cross-functional teams to identify pain points and opportunities for improvement.
• Develop reusable tools, frameworks, and best practices to enhance the data platform.
• Contribute to large-scale initiatives including ML platforms and real-time use cases.
• Establish and promote best practices for software and data development.
• Improve platform reliability, observability, performance, scalability, and self-service capabilities.
• Troubleshoot production issues and take ownership through resolution.
• Contribute to CI/CD, testing, automation, and continuous improvement of the data engineering environment.

Skills

Data pipelines

Airflow

Large datasets

ETL/ELT

Cloud platforms

Spark/Scala/Python

CI/CD

Software engineering

Version control

Troubleshooting

Education

Bachelor's or Master’s in Software Engineering or related field

Job description

We are looking for an experienced Data Engineer to join theData Infrastructure teamand contribute to the development and operation of a scalable, robust, and self-service analytics platform.

Educational Qualification: Bachelor’s or Master’s degree Software Engineering, or a related field .

Key Responsibilities:

• Maintain, enhance, and optimize data ingestion pipelines responsible for reliably processing billions of events per day within defined SLAs.
• Design, build, and operate scalable and reliable data pipelines and infrastructure.
• Support engineering teams in developing and optimizing complex data pipelines.
• Work closely with cross-functional teams to identify platform pain points, technical challenges, and opportunities for improvement.
• Develop reusable tools, frameworks, and best practices to enhance the overall data platform.
• Contribute to large-scale initiatives, including ML platforms and real-time/streaming use cases.
• Establish and promote best practices for software engineering and data development.
• Improve platform reliability, observability, performance, scalability, and self-service capabilities.
• Troubleshoot production issues and take ownership of problems through to resolution.
• Contribute to CI/CD, testing, automation, and continuous improvement of the data engineering environment.

Required Qualifications:

• 3+ years of professional experience in Data Engineeringor a closely related field .
• Experience with data orchestration tools such as Apache Airflow .
• Proven experience working with large-scale datasets .
• Strong experience designing and developing complex ETL/ELT pipelines .
• Hands-on experience with at least one major cloud platform: GCP, AWS, or Azure .
• Strong programming skills in Apache Spark using Scala and Python
• Experience with CI/CD practices and tools , such as Jenkins and Git.
• Strong understanding of software engineering principles, development practices, testing, and version control .

Soft Skills:

• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently, take ownership, and proactively identify and resolve technical challenges.

Job Features

Job Category Data Engineerig