Top Data Engineer Jobs in Warsaw

As a Strong Middle Data Engineer, you will design and maintain data platforms and pipelines for an online car market. Collaborate with senior engineers to simplify tools and enhance user experience while actively participating in decision-making and improvements.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

The Data Engineer will design, develop, and maintain data pipelines, collaborate with product and data teams, optimize systems for accuracy, and ensure compliance standards while enhancing A/B testing capabilities at Allegro.

The Data Developer will collaborate with developers and regulatory analysts to handle and manage regulatory data. Responsibilities include designing and integrating software solutions, maintaining data products, and updating databases using programming languages such as C# and SQL.

As a Senior Data Engineer, you will design, develop, and document data pipelines and components for managing structured and unstructured data in a cloud infrastructure. You will focus on improving performance, standardizing automation patterns, and collaborating with teams in an Agile environment to deliver high-quality software that meets customer requirements.

The Data Engineer at Samba TV will develop and automate data pipelines for ad impressions and viewership datasets, enhance the efficiency of data handling processes, and facilitate self-service analytics while mentoring team members. The role involves close collaboration with Data Science teams and improving overall data platform tools.

The Data Engineer will develop and optimize data pipelines to support machine learning research. Responsibilities include designing scalable data architectures, collaborating with ML researchers, transforming data for experiments, and managing data integration processes using Python and SQL, along with NoSQL databases.

The Data Engineer role involves creating data pipelines, maintaining data systems, supporting data quality and security initiatives, and collaborating with teams to ensure data accessibility and reporting needs are met.

As a Cloud Data Engineer, you'll manage and enhance data pipelines, databases, and warehouses to meet scaling demands. Responsibilities include implementing monitoring for data metrics, participating in performance testing, responding to incidents, and developing solutions for customer data requests. Collaboration with engineering and product teams is essential.

As a Data Engineer, you will design and develop a cloud-based analytical platform, focusing on data extraction, transformation, and visualization. You will work collaboratively within a team to enhance IT Data management and activation using cloud technologies, specifically Microsoft Azure, and tools like Databricks and Power BI.

As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.

The Senior Data Engineer will build and optimize data systems and pipelines, transform raw data into refined models, and enhance data engineering practices. They will also automate incident detection, suggest system architecture improvements, and work with business requirements to design data solutions.

As a Data Engineer, you will design and implement data warehouse solutions, manage data ingestion and transformation processes, optimize SQL queries, and contribute to the technology choices and architecture for pricing and risk components in financial markets. You will collaborate with international teams to deliver high-quality software that meets customer requirements.

The Data Engineer will design and manage databases, data processing pipelines, and data streaming solutions. Responsibilities include performance tuning, database modifications, and collaborating with developers to enhance applications. The role demands gathering user requirements, producing technical manuals, and offering data management support.

The Data Engineer II will enhance and optimize data pipelines and architecture, support data analysts, and ensure the integrity of data delivery systems across projects. Responsibilities include building data infrastructure, creating analytics tools, and collaborating with stakeholders on data needs.

As a Solution Consultant, you will connect advanced planning software Kinaxis Maestro with existing IT systems, support integrations with ERP and PLM using MS BI Data Warehouse, and develop future solutions utilizing Microsoft OneLake technologies and REST APIs.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.