Top Data Engineer Jobs in Poland

As a Senior Data Engineer, you will optimize data pipelines and manage time series data within Azure, employing Python and SQL to analyze energy pricing and consumption for B2B and B2C clients. You'll collaborate within an Agile team to ensure data integration and reliable insights.

The role involves programming in Scala, Python, or Java, with a strong focus on distributed systems and data processing using frameworks like Spark or Apache Beam. Candidates should be proficient in GCP or other cloud environments, and familiar with best practices in coding and system operations.

The Contractor Big Data Engineer will develop and maintain scalable data processing systems using technologies like Scala, Python, and Spark. They will work with cloud environments such as GCP or Azure, implement code reviews, and uphold best practices in software development. This role promotes collaboration within agile methodologies and encourages continuous learning and personal development.

The Senior Data Engineer will design and build scalable data pipelines, implement ETL/ELT processes, and maintain the Data Warehouse. Collaborating with stakeholders to meet data needs, the role involves troubleshooting data issues, ensuring compliance, and developing documentation for data engineering processes in an agile environment.

Lead a team to manage a self-service AI portal and microservices, collaborate with cross-functional teams to enhance data pipelines, evaluate software options, and implement engineering best practices. Requires expertise in data architecture and cloud services, with opportunities to work on backend or ML/AI projects.

As a Senior Data Engineer, you will develop and maintain data warehousing and ETL solutions, create data models for the Data Mart layer, and support BI reporting applications within a team focused on regulatory reporting.

As a Senior Data Engineer, you will design and build scalable data pipelines and maintain data warehouses and lakes. You will ensure data quality by collaborating with data teams and develop ETL processes. Your role includes monitoring data pipelines' performance and optimizing for high availability.

The Senior Data Engineer will design, develop, and maintain scalable data pipelines, integrate real-time streaming data, and ensure efficient data storage and querying. Responsibilities include utilizing Databricks for transformations, managing Azure IoT Hub, and collaborating with teams to deliver data-driven solutions while ensuring quality and reliability.

As a Senior Data Analytics Engineer, you will develop and support dbt models, maintain data products, implement data governance, build data quality monitors, and communicate data quality issues to product teams. You will work with performance tuning on analytics databases and guide data users on best practices.

Staff Software Engineer role at Zendesk focusing on building analytics software and products. Responsibilities include collaborating with a team, working on performance projects, and mentoring other engineers. Tech stack includes Ruby, Scala, Typescript, Spark, Kafka, Flink, Redis, AWS, Docker, SQL, Terraform.

As a Senior Data Analytics Engineer at TransferGo, you will develop and support dbt models, implement data validation rules, build and maintain data products, and optimize data transformations. You will guide data users on product usage and enforce data governance while communicating data quality issues with product teams.

As a Senior Data Engineer, you will design and implement systems for a private investment firm, integrating data from various sources to support decision-making processes. Responsibilities include data modeling, building data pipelines, and utilizing machine learning to derive insights.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

The Senior Data Engineer role involves working within a team dedicated to regulatory reporting, focusing on the development and maintenance of data warehousing and ETL solutions. Key responsibilities include developing data models and ensuring the health of data warehousing solutions for reporting purposes.

The Senior Big Data Developer at BBH will work on developing a secure data platform using Cloudera and Snowflake, implement ETL logic and data flows, and ensure coding best practices. Responsibilities include leveraging Cloudera components and collaborating with distributed teams.

The Staff Data Engineer and Team Lead at GSK is responsible for leading a team of world-class data engineers to build automated, scalable, and sustainable pipelines to meet evolving scientific needs. They collaborate with other teams to ensure best-in-class engineering practices and drive engineering efficiencies within the organization.

As a Senior Data Engineer, you will design and build complex data pipelines, optimize data storage solutions, collaborate with data analysts, and implement features using tools like Kedro and PySpark, ensuring data-driven decisions are made for the organization.