Middle Data Engineer

Company Description
Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.
In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.
We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.
CUSTOMER
Our customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.
PROJECT
The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.
Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CD
Job Description
Design, develop, and maintain ETL/ELT pipelines
Build and optimize data transformations to support analytics and reporting needs
Develop and maintain data models, datasets, and integration solutions
Ensure data quality, consistency, and reliability through testing and monitoring
Troubleshoot and resolve data pipeline and performance issues
Collaborate with analysts, engineers, and business stakeholders to deliver data-driven solutions
Contribute to the development and maintenance of cloud-based data platforms
Participate in code reviews and technical discussions
Create and maintain technical documentation for implemented solutions
Continuously improve existing data processes and platform performance
Qualifications
3+ years of experience in Data Engineering or Software Engineering
Upper-Intermediate English level
Strong SQL skills and understanding of relational and dimensional data modeling
Hands-on experience with Python for data processing and automation
Experience building and maintaining ETL/ELT pipelines
Hands-on experience with Databricks and Apache Spark
Experience working with Snowflake
Understanding of data warehousing and modern data platform concepts
Experience working with cloud environments, preferably AWS
Familiarity with CI/CD, Git, and software engineering best practices
Strong analytical, troubleshooting, and communication skills
WILL BE A PLUS
Experience with streaming data processing
Knowledge of orchestration tools such as Airflow or Dagster
Experience with infrastructure as code practices
Familiarity with data quality and observability frameworks
Exposure to large-scale distributed data systems
Experience working in Agile environments
Additional Information
PERSONAL PROFILE
Strong analytical mindset
Detail-oriented and quality-focused
Proactive and collaborative approach
Good communication and teamwork skills
Willingness to learn and grow within modern Data Engineering environments
Ability to work independently in remote teams

Work arrangement
Yes