What is the salary for this Senior Data Engineer role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Provectus.

Where is this Senior Data Engineer position located?

This is an on-site position at Provectus located in Poland, Warsaw, Europe.

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Provectus is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Provectus.

Senior Data Engineer

Provectus Poland, Warsaw 1 day ago

data

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.

Responsibilities:

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.