Senior Data Engineer Jobs

Provectus

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Category:
IT - Software Development

Contract Type:
B2B

Salary:

Not provided

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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:
December 11, 2025

Work Type:

Remote work

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Senior Data Engineer