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Lead a data engineering team to design and operate scalable Databricks pipelines in Python and Azure Data Factory, ensuring robust data ingestion, orchestration, and performance for an insurance group.
Leads a data engineering team to design and operate scalable pipelines using Databricks and Azure Data Factory for an insurance provider.
Lead a data engineering team to design and operate scalable Databricks pipelines on Azure, integrating SQL/NoSQL databases and optimizing performance for an insurance group.
Lead large-scale data migrations to Google Cloud, designing and optimizing pipelines with Python/Go, Cloud Functions, Dataflow, and Dataproc.
Lead a team to design and build end-to-end data pipelines and architectures that turn raw data into business insights for clients.
Lead data engineers design and build scalable data pipelines, modern data architectures, and analytics solutions for clients, using distributed storage/compute and TDD practices.
Lead Data Engineer designs event-driven architectures (Kafka, CDC) and sets cloud data standards to build reliable data products across mobility, real estate, jobs, and recommerce verticals.
Lead a Data Mesh initiative at Vend, building robust, well-documented data products for Mobility, Real Estate, Jobs, and Recommerce while mentoring engineers and collaborating across Nordic offices.
Leads design and operation of MS SQL Server and MariaDB data platforms on Azure, ensuring high availability with AlwaysOn, while supporting internal teams.
Lead the design and implementation of AI-ready finance data pipelines for a reinsurance firm, ensuring compliance with IFRS 17 and enabling scalable data consumption.
Lead the design and evolution of enterprise-scale data platforms at Kingfisher plc, setting engineering standards and mentoring teams to deliver measurable business value.
Lead the Azure-based data platform for BD, designing ETL pipelines, writing SQL, and delivering Power BI reports to drive Distribution Excellence.
Lead a team building and scaling a next-gen financial-data platform using Python, Spark, and AWS, while setting engineering standards and guiding technical decisions.
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.
Lead a team of Snowflake Data Engineers to build and scale Aviva’s Financial Data Hub, focusing on automation, security, and CI/CD pipelines for analytical and operational use cases.
Lead Data Engineer designs and migrates data pipelines using GCP and PySpark, guiding a remote team and ensuring robust data infrastructure.
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.
Design and build scalable GCP-based data platforms for analytics and reporting using Databricks and Snowflake.
Lead a data engineering team to build and migrate media-industry data platforms on GCP using PySpark, while removing technical blockers and guiding architectural decisions.
Lead a team of Java engineers to design and implement a scalable data platform for trade capture, integrating with operations and regulatory systems while driving cloud modernization.
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