Senior Data Engineer (AWS)

You will be responsible for:

• Designing, implementing, and maintaining scalable data platforms and pipelines on AWS, including data warehouses, data lakes, and real-time streaming solutions that support the AI platform’s low-latency needs
• Building and operating high-quality data products on top of services such as Amazon Redshift, Kinesis, Glue, DynamoDB, ElastiCache, and S3 to power analytics, reporting, and AI-driven use cases
• Monitoring data flows, detecting anomalies, and improving data quality, reliability, and observability across batch and real-time workloads
• Collaborating closely with AI, backend, and product teams to translate business requirements into robust, secure, and scalable data architectures on AWS
  

You will need at least one of these:

• Strong programming skills in Python and SQL, with hands-on experience building and optimizing ETL/ELT pipelines and APIs in a modern cloud environment
• Proven experience designing and implementing large-scale data platforms using Big Data technologies such as Spark, Hive, Hadoop, Airflow, or Databricks
• Practical knowledge of AWS data and analytics services (e.g., Redshift, Kinesis, Glue, S3, DynamoDB, ElastiCache), and familiarity with event-driven or streaming architectures
• Nice to have: experience working with AI- or ML-centric products, especially those leveraging vector databases, RAG-style architectures, or real-time conversational data

 You will get:

• 100% remote work with possibility to use office in Warsaw
• Flexible working hours
• Company events
• Money return for passed certifications
• Opportunity to take advantage of Microsoft Azure and Google Cloud Platform training package available only for partners of these providers
• Possibility to use in-house incubator for development of own ventures
• A supportive community with 50+ consultants with 10+ years’ experience in Data Warehouse and Big Data
• and much more!