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Lead a team building a cloud-native operational data store (ODS) with Kafka, AWS Glue, and containerized services in a hybrid role based in Warsaw.
Build and optimize Ørsted’s cloud data warehouse, migrating from Azure to AWS while ensuring reliable, scalable data pipelines and platform performance for enterprise analytics.
Maintain and migrate Ørsted’s enterprise data warehouse from Azure to AWS, ensuring scalable, high-performance data pipelines and platform reliability for analytics teams.
Senior role combining data science and software engineering to generate insights and technical communications for smart-building and climate-control systems using Python/R and SQL.
QA engineer validating Databricks-based data pipelines for financial services, ensuring accuracy and compliance through SQL and Spark testing.
Build and scale high-performance data pipelines and products in Kafka to power AI-driven job search and ML models for a global HR-tech platform.
Build and maintain scalable data platforms on AWS using Kafka, Spark, Airflow and Iceberg to power analytics and AI products.
Builds and maintains scalable data pipelines and warehouses using Snowflake, AWS, dbt, and Airflow to support analytics and AI initiatives.
Maintains and secures data-center servers, storage, and networks to keep systems online and compliant, troubleshooting issues and documenting changes.
Intern builds data models and cloud pipelines using SQL, Python, Spark, and Azure to support predictive analytics and new IT systems.
Freelance role building and fine-tuning AI models using Python and SQL, collaborating with global tech firms on generative AI projects.
Leads end-to-end data and analytics engineering projects, collaborating with enterprise clients and setting engineering standards for complex solutions.
Build and maintain Arla’s enterprise-grade data platform using Azure and Databricks, developing software and data components in a collaborative, international team.
Build and modernize backend services and TB-scale data pipelines in Python/Java to process aviation flight data, optimizing fuel use and CO² emissions for airlines.
Builds robust, structured data foundations for AI applications by analyzing landscapes, integrating unstructured sources, and setting up data infrastructure using Python, SQL, and ETL.
Procter & Gamble Company in Warsaw is seeking a Data & Applications Engineer to support Environmental, Social, and Governance (ESG) reporting. You will enhance technical capabilities, manage data pipelines, and…
Builds and maintains AI-driven data infrastructure for trading and research systems using Python and relational databases.
Owns and builds complex data & analytics solutions using Java and Python, mentors engineers, and drives engineering excellence in a travel-focused product team.
Lead the design and delivery of an AWS-native data platform, managing the full data lifecycle and collaborating with AI teams to build reliable data systems.
Builds and maintains AI-focused data infrastructure, APIs, and cloud integrations using Python to support Point72's technology stack.
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