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Designs and builds scalable healthcare data pipelines using Java/Scala/Python, standardizing medical records and processing billions of records in production.
Tech Lead designs and builds AWS-based data platforms with GenAI-enabled pipelines, guiding a remote team of data engineers while collaborating with data scientists and product teams.
Builds and maintains Snowflake-based data pipelines and models for a Swiss mobility client, with daily use of SQL and ETL tooling.
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Azure, enabling advanced analytics and reporting for clients.
Builds and maintains scalable data pipelines using Spark, Scala, and ETL processes, with SQL and BI tools like Databricks and Power BI.
Lead Data Engineer designs and migrates data pipelines using GCP and PySpark, guiding a remote team and ensuring robust data infrastructure.
Build and enhance Big Data solutions for a banking client using Python and Apache Spark, processing large-scale financial datasets.
Build and maintain AI-powered search infrastructure: ETL pipelines, embedding generation, document processing, and ranking systems to power semantic search and AI agent queries.
Senior Java & Data Engineer builds scalable financial applications and data pipelines using Java, Oracle, and graph databases for capital markets.
Builds and maintains distributed data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka.
Designs and implements AI/ML solutions, including LLM and data pipelines, to optimize HR processes and build proofs-of-concept.
Design and optimize Snowflake-based data pipelines for AI-driven analytics in pharma, using SQL and ETL/ELT tools to deliver reliable datasets.
Kingfisher is seeking a Senior Quality Engineer (Data) to join our Data Engineering team in a hybrid role based in Kraków, with 1 day per week in the office. You will drive data quality and reliability for data…
Senior Data Scientist builds demand-forecasting models for a Polish entertainment network, integrating sales history with external signals and engineering data pipelines in Python and SQL.
Builds and maintains ETL pipelines into a data warehouse for a pharma company, designs star schemas, and optimizes SQL queries in production.
Lead a team to design and build scalable cloud data platforms on Azure, AWS, and GCP, including real-time and batch pipelines, while guiding engineering best practices and presenting solutions to stakeholders.
Build and scale data services in Azure/AWS for a British insurer’s cyber-risk platform using Python, APIs, and relational databases.
Build and maintain Azure-native data pipelines and lakehouse infrastructure, ingesting data from APIs, IoT, ERP, and files to create analytics-ready datasets for finance, operations, and supply chain.
Builds and optimizes an open analytics stack (ClickHouse, Cube.js, Superset) by designing a semantic layer and robust ELT pipelines to replace Power BI logic.
Build and deploy scalable data pipelines and MLOps workflows to integrate structured, semi-structured, and unstructured data for GenAI and LLM solutions in the insurance sector.
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