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.

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.

What we offer:

• Agile delivery.
• Challenging projects.
• Professional team.
• Trust-focused culture.
• Business trips to the UK.
• Corporate activities.
• Free English classes.
• Investment into your training.
• Flexible working schedule.
• Financial stability.