Data & AI Architect

Ready for an adventure with AWS & AI? Join us!

We are one of the fastest-growing AWS Partners in Europe, and our strength lies in the experience gained from delivering innovative IT projects for companies across various industries – from telecommunications and finance to startups.

Here, you’ll have the opportunity to dive deep into AWS, working on migration projects, ensuring security, and exploring the latest technologies in the Data & AI area.

Together, we drive innovation and help businesses unlock limitless possibilities!

* We are open to collaboration on both a full-time or part-time basis.

• Designing and implementing scalable Data & AI solutions based on AWS services
• Overseeing project execution and partial implementation
• Collaborating with clients to create solutions aligned with their needs and requirements
• Collaborating with and mentoring other team members
• Monitoring system performance and scalability, optimizing infrastructure costs in AWS
• Ensuring compliance with best practices for security and data management in AWS

• Minimum 4 years of experience in data engineering, SQL, ETL/ELT development, or related AWS data services
• General willingness to help customers while they're struggling with technical problems
• Experience in building Data & AI solutions on top of AWS cloud environment and/or Snowflake
• Experience working with AWS services (EC2, S3, Glue, Redshift, EMR, Kinesis, Lambda, Athena, S3 Tables, Step Functions, etc)
• Deep understanding of data modeling, data lake, data warehouse, data lakehouse concepts, and big data technologies
• Knowledge of Data Engineering technologies and frameworks such as (Apache Airflow, Apache Spark, dbt, Apache Iceberg, Apache Kafka, Debezium, etc)
• Deep understanding of software engineering best practices such as code reviews, source control management, build processes, testing, deployment, release, and change management
• Knowledge of AI/ML technologies (Tensor Flow, PyTorch, scikit-learn, as well as deploying models in AWS Sage Maker)
• Excellent communication skills in working with both business and technical teams
• Good verbal skills (Polish and English) and a human-friendly approach

• Paid leave
• Sponsored AWS certification
• Free English classes
• Multisport card subsidy

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