Middle/Senior Data Engineer

Job overview

At Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. We are growing and looking for a talented Data Engineer with strong Snowflake expertise to join our team. If you are interested in working with modern data technologies, solving complex problems, and making an impact — we want to hear from you!
 
As a Data Engineer, you will be part of a collaborative and agile environment where your ideas matter. You will design, build, and maintain scalable and efficient data pipelines and solutions that support data-driven decision-making. You’ll work closely with cross-functional teams including Data Scientists, Architects, and Software Engineers to create reliable, secure, and high-performing systems.
 
This is a hybrid position, so we expect candidates to visit an office in one of our five locations (Warsaw, Wrocław, Łódź, Gdańsk, Białystok) at least once a week.

Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL/ELT processes

• Work with structured and unstructured data from various sources

• Collaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirements

• Implement data quality, data validation, and monitoring practices

• Participate in architecture and design discussions to build cloud-native data platforms

• Maintain and optimize data storage solutions (data lakes, data warehouses)

• Ensure the security, integrity, and availability of data

• Support the deployment of machine learning models into production

• Continuously improve performance, reliability, and scalability of our data systems

Requirements

Ideally you have:

• 3+ years in Data Engineering role

• Strong understanding of data modeling, data warehousing, and ETL/ELT processes

• Solid programming skills in Python

• Knowledge of Data warehousing tools: Snowflake, Redshift

• Strong knowledge of SQL and database optimization

• Experience in building and maintaining data pipelines using Fivetran, Matillion, dbt

• Experience with AWS tools (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)

• Ability to work with large volumes of data efficiently

• Understanding best practices for data security and governance

• Familiarity with Agile methodologies and working in cross-functional teams

• Strong analytical thinking, problem-solving skills, and attention to detail are important

• Excellent communication and teamwork skills

• Strong verbal and written English communication skills

Nice to have:

• Experience with data processing tools: Spark (Databricks), Kafka

• Knowledge of MS SQL (SSIS, SSAS), PostgreSQL, MySQL

• Intention to learn Power BI for data visualization