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Senior Data Engineer

3 weeks ago

Remote Wrocław, Czech Republic Provectus Full time
  • Experience in data engineering;
  • Experience working with Cloud Solutions (preferably AWS, also GCP or Azure);
  • Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
  • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
  • Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;
  • Proficiency in programming languages relevant to data engineering such as Python and SQL;
  • Experience in building scalable APIs;
  • Experience in building Generative AI Applications (e.g., chatbots, RAG systems);
  • Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization;
  • Advanced or Fluent English skills;
  • Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Nice to have:

  • Relevant AWS, GCP, Azure, Databricks certifications;
  • Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
  • Experience in building Data Solutions in a Data Mesh architecture;
  • Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).

We are hiring a Senior Data Engineer (AWS) to join our AI-first consulting company.
As an AWS Premier Consulting Partner, we design and deliver high-impact data and ML solutions for clients across industries.
This position is primarily full remote, but we are looking for someone open to occasional office visits in Wrocław (once every 3–4 months) for team alignment and workshops.

Work conditions
  • Full remote work
  • Occasional office visit in Wrocław (once in 3–4 months)
  • B2B collaboration contract
  • Flexible working hours
  • Competitive monthly compensation
  • Annual bonus based on performance
  • Private health insurance provided
  • Equipment provided (laptop + peripherals, if needed)
  • AWS Certification Support
,[Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;, Collect and manage large volumes of varied data sets;, Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;, Define data models that integrate disparate data across the organization;, Design, implement, and maintain ETL/ELT data pipelines;, Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently;, Develop, continuously test and deploy Data API Products with Python and frameworks like Flask or FastAPI.] Requirements: AWS, Spark, Airflow, AI, Python, Kafka Tools: . Additionally: Training budget, Private healthcare, International projects.