Senior Data Engineer

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  part of our diverse practices, including Data, Machine Learning, Dev Ops, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers.

• 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.

• 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 Cloud Formation.
• 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.

• 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, Quick Sight, Looker, Tableau, etc.).
• Experience in building Data Solutions in a Data Mesh architecture.

• 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.
• Long-term B2B collaboration.
• 100% remote — with flexible hours.
• 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.