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Senior Data Engineer

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Provectus

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Location:
Poland , Warsaw

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Contract Type:
B2B

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Salary:

Not provided

Job Description:

Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries. We are seeking a talented and experienced Data Engineer to join our team at Provectus. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers.

Job Responsibility:

  • 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 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:

  • Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
  • Experience in AWS
  • Proficiency in programming languages relevant to data engineering, such as Python and SQL
  • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
  • Experience in building scalable APIs
  • Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
  • Upper-Intermediate or higher English skills
  • Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Nice to have:

  • Experience with Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Experience in building Generative AI Applications (e.g., chatbots, RAG systems)
  • 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
What we offer:
  • Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
  • Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
  • Collaboration with an international, cross-functional team
  • Comprehensive private medical insurance or budget for your medical needs
  • Paid sick leave, vacation, and public holidays
  • Equipment and all the tech you need for comfortable, productive work
  • Special gifts for weddings, childbirth, and other personal milestones

Additional Information:

Job Posted:
January 10, 2026

Work Type:
Remote work
Job Link Share:

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