Senior Data Engineer with AWS and Databricks, Data Platform

Remote.Bulgaria
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Клуж-Напока
Краков
Ларнака
Лодз
Люблин
Рига
София

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Project overview

The project focuses on building a centralized cloud data platform that supports large scale data ingestion, processing, and analytics workloads. The platform enables advanced reporting, analytics, and data science use cases across multiple domains. Project nickname: Data Platform

Team

You will work in a cross functional team that includes data engineers, data architects, analysts, and platform specialists. The team collaborates closely using Agile practices, sharing responsibility for building scalable and reliable data solutions.

Position overview

We are looking for a Senior Data Engineer to design, build, and optimize a modern cloud data platform on AWS with Databricks. You will contribute to developing scalable data pipelines, supporting analytics use cases, and ensuring reliable data processing across the platform.

Technology stack

AWS, S3, Redshift, Databricks, Spark, PySpark, dbt, Python, SQL, Git, MLflow, CI CD pipelines, data orchestration tools, data governance and security tools

Responsibilities

Develop and maintain scalable data pipelines for ingestion, transformation, and storage
Implement data processing solutions using Databricks and Spark
Collaborate with data architects to align implementations with target architecture and standards
Build and optimize data models to support analytics and reporting use cases
Ensure data quality, reliability, and performance across the platform
Integrate data from various sources using cloud native services and tools
Support data governance, security, and compliance requirements
Participate in code reviews and contribute to continuous improvement of engineering practices
Communicate technical concepts to both technical and non technical stakeholders

Requirements

Experience working as a Data Engineer in complex data environments
Hands on experience building data platforms on AWS
Practical experience with Databricks and Spark based data processing
Strong knowledge of data modeling and data warehousing concepts
Experience building and maintaining large scale data pipelines
Strong programming skills in Python and SQL
Fluent English and French communication skills for professional environments

Nice to have

Experience with data governance or data quality frameworks
Exposure to real time or streaming data architectures
Experience working with data science or machine learning teams
Background in enterprise scale environments

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Senior Data Engineer with AWS and Databricks, Data Platform

For Pros

Project overview

Team

Position overview

Technology stack

Responsibilities

Requirements

Nice to have

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