Senior AWS Data Engineer

Lingarogroup; Poland; On-site; PLN 140,000 - 200,000; Full time

Job summary

Lingarogroup is seeking a Senior Data Engineer to maintain and extend a comprehensive Data Engineering platform built on AWS. You will create scalable, reusable Python modules for multiple countries and environments, applying strong OOP design and modern development practices.

You will collaborate with agile teams to deliver high-quality data solutions, debug sophisticated pipelines on AWS (Glue, Athena, Step Functions, Lambda) and champion code quality with testing and automation.

Qualifications

• 5-10 years of data engineering experience with global or regional project exposure.
• Strong Python programming skills with pandas.
• Experience building scalable data platforms on AWS.
• Familiarity with agile development practices and Azure DevOps.

Responsibilities

• Develop and maintain the Data Engineering platforms using AWS Native stack.
• Design and implement generalized modules using modern Python development practices that are reusable across various countries and business settings.
• Apply object-oriented programming principles to create maintainable and scalable data processing solutions.
• Collaborate effectively within agile development teams to deliver high-quality solutions on schedule.
• Identify root causes of issues with existing data and suggestion generation pipelines and implement robust fixes (debugging across AWS Step Functions, Glue, Athena, and Lambda).
• Leverage modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency.
• Advanced Python programming expertise, with particular strength in: pandas for data manipulation and analysis Object-oriented programming (OOP) principles and design patterns Modern Python development tools and best practices.
• AWS cloud technologies experience, specifically: AWS Glue for ETL processes Amazon Athena for data querying Information Sensitivity: General\Internal DynamoDB for NoSQL data storage AWS Step Functions and Lambda for workflow orchestration.
• Strong understanding of cloud architectures, particularly AWS-based solutions.
• Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps).
• 5-10 years of data engineering experience with global or regional project exposure is nice to have.
• Experience with modern software engineering practices including CI/CD, version control, and automated testing.

Skills

Python programming

Pandas

OOP principles

Agile development

Tools

AWS Glue

Amazon Athena

AWS Step Functions

AWS Lambda

DynamoDB

Azure DevOps

Job description

The Senior Data Engineer for the project will be responsible for maintaining and developing a comprehensive Data Engineering platforms. This role focuses on building scalable, reusable solutions that can be deployed across multiple countries and business environments within the project framework.

Key Responsibilities

• Develop and maintain the Data Engineering platforms using AWS Native stack
• Design and implement generalized modules using modern Python development practices that are reusable across various countries and business settings
• Apply object-oriented programming principles to create maintainable and scalable data processing solutions
• Collaborate effectively within agile development teams to deliver high-quality solutions on schedule
• Identify root causes of issues with existing data and suggestion generation pipelines and implement robust fixes (debugging across AWS Step Functions, Glue, Athena, and Lambda)
• Leverage modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency
• Advanced Python programming expertise, with particular strength in: pandas for data manipulation and analysis Object-oriented programming (OOP) principles and design patterns Modern Python development tools and best practices
• AWS cloud technologies experience, specifically: AWS Glue for ETL processes Amazon Athena for data querying Information Sensitivity: General\Internal DynamoDB for NoSQL data storage AWS Step Functions and Lambda for workflow orchestration
• Strong understanding of cloud architectures, particularly AWS-based solutions
• Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps)
• 5-10 years of data engineering experience with global or regional project exposure is nice to have
• Experience with modern software engineering practices including CI/CD, version control, and automated testing