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The Data Engineer will design, build, and scale data pipelines for XTB's core data platform using Python, SQL, and Spark. The role involves ensuring data quality and implementing infrastructure as code to support real-time data flows.
SRE/Platform Engineer responsible for architecting an observability and data quality platform on Azure, building dashboards and automated resolution systems, and driving IaC/CI/CD practices with AKS and Kafka.
The Platform Engineer will optimize data infrastructure and streamline operations in an Agile environment. The role focuses on maintaining scalable, observable data management components using cloud, scripting, and CI/CD technologies.
Junior Data Platform Engineer at Lipton Teas & Infusions in Katowice, building and maintaining data tooling, reusable components, and cloud-based infrastructure on Azure and Databricks within an agile team.
ipracujzdalnie.pl seeks a Regular Datacenter Engineer (Cisco area) to deploy, configure and maintain enterprise-grade network and datacenter infrastructure for multiple clients. You will assist in technical designs,…
Build and tune the simulation and optimization engine that turns market predictions into price recommendations for airlines and other clients using Python and mathematical models.
Designs and optimizes large-scale data pipelines using PySpark/Python for enterprise data processing, ensuring scalability and data quality while collaborating with data teams in a hybrid Kraków office.
Platform Engineer maintaining and evolving PMI's global data platform—data catalog, quality, lineage, observability—using AWS, Snowflake/Databricks, dbt, Python, Terraform, and CI/CD tooling.
Architect and maintain real-time and batch data pipelines using Azure Data Factory, Python/PySpark, and Databricks; design data warehouses, data models, and data lakes with security and governance.
The Data Solutions Engineer will design and manage data solutions within Databricks and Microsoft Fabric environments on Azure. The role involves developing data workflows using Python and PySpark while ensuring code quality through rigorous testing.
Build and maintain clinical databases and study systems within EDC/RTSM/eCOA ecosystems, designing data logic, developing automation, and producing reports for a pharmaceutical company.
Data Quality Engineer owning data quality for a data processing platform, identifying issues, analyzing root causes, and building offline remedies using JVM tech (Kotlin/Java, Spring Boot), GCP, BigQuery, and Beam/Kafka.
Design and optimize data workflows, develop CI/CD pipelines, automate data testing, and monitor tasks using SQL, dbt, Snowflake, and Snowpark in a hybrid role in Poland.
Designs, implements, and optimizes Snowpark and dbt workflows for data processing, ensuring production stability, monitoring, and automation of data pipelines with AI/GenAI integration.
Data & Integration Tech Lead responsible for end-to-end oversight of data flows, API integrations, and data governance across a credit/banking platform, ensuring compliance, traceability, and robust monitoring of data pipelines.
Senior Data Engineer maintaining data platforms in a hybrid role in Wrocław, focused on data migration, architecture, and optimizing data processing using Databricks, Python, SQL, and analytics tools.
Senior Data Engineer designing and optimizing Spark-based data pipelines with Python and PySpark, using Databricks and Delta Tables to build scalable analytics platforms for enterprise clients.
The Data Engineer will design, build, and maintain scalable batch and streaming data pipelines using Spark, Apache Beam, and Airflow. The role involves collaborating with engineering teams to manage data transformations and quality using SQL and dbt.
This Data Engineer role involves designing and implementing data pipelines and PySpark notebooks within the Microsoft Fabric environment for an insurance client. The position focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
The Senior Data Engineer will design and implement data pipelines using Azure Data Factory and PySpark within Microsoft Fabric for the insurance industry. The role involves onboarding data sources, ensuring data quality through validation and standardization, and collaborating with risk teams on transformation rules.
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