Top Data Engineer Jobs in Poland

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Junior Big Data Engineer will assist in building and maintaining scalable data pipelines in a supportive team, focusing on ETL workflows and collaborating with data scientists.

The Data Governance Developer will develop DQ rules, support data quality programs, conduct data profiling, and manage QA processes across various regions.

Responsible for designing database schemas, optimizing SQL queries, managing cloud data performance, and leading backend development in a microservices environment.

The Junior Python Software Engineer will develop data pipelines, write Python code, and master the Skywise data platform, contributing to aviation data analytics.

As a Python Software Engineer, you'll develop Python frameworks, optimize data processing pipelines, and participate in engineering discussions for NAVBLUE's aviation data analytics solutions.

Design, build, and maintain scalable ELT/ETL pipelines and analytics-ready datasets. Implement data modeling, governance, quality checks, and dashboards. Partner with stakeholders to define KPIs and enable self-service analytics.

The Senior Data Engineer will design RESTful APIs, contribute to targeting and segmentation pipelines, ensure system stability, and innovate in Data Platform architecture.

The Senior Data Engineer designs and develops data architectures, optimizes data pipelines, and collaborates with stakeholders to enhance data management practices.

The Data Analytics Engineer will design and maintain data pipelines, automate workflows, develop BI tools, and collaborate with teams to deliver impactful analytics.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Senior Data Engineer, you will architect intelligent data ecosystems, build ETL pipelines, mentor team members, and optimize data processes using AI technologies.

The Senior Data Engineer will design and maintain data models and pipelines, ensure data quality, and collaborate with teams to deliver data solutions using Snowflake and DBT.

The Data Quality and Governance Developer will develop and implement data quality rules, support the JLL Data Quality Program, and resolve production issues. Responsibilities include data profiling, code reviews, and participation in agile methodologies.

Design, implement, and deploy ML and AI solutions; architect AI systems; build and oversee data pipelines; collaborate with engineering teams; translate business needs to data problems; present results to stakeholders; follow Agile practices.

Lead design and delivery of end-to-end ML/AI solutions: architect systems, implement and validate models, oversee data pipelines, coordinate cross-functional teams, mentor engineers, liaise with clients, and ensure timely Agile delivery.

As a Lead Python Engineer, you will build a multitenant data platform and data ingestion pipelines on AWS, collaborating with various teams and improving processes.

As a Senior Principal Software Engineer, you will develop data recovery software, integrating AI capabilities, leading technical decisions, and mentoring junior engineers.

The Staff Data Platform Engineer will build and optimize data pipelines, manage data processing workflows, and ensure scalability and reliability of backend platforms using Python, Spark, and Databricks.

Design and maintain scalable data pipelines, improve data processes, collaborate on algorithms, and ensure reliable delivery of internal data products.

The Lead Data Engineer will develop enterprise-level data pipelines, oversee data lifecycle management, and provide technical leadership while ensuring data security and compliance.