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Data Engineer designing and managing data pipelines on Azure, working with ETL/ELT, Azure Databricks, and PySpark in an international, hybrid/remote context.
AWS Data Engineer building data platforms—handling data acquisition, transformation, cleansing, and loading into data lakes for analytics and ML—using AWS services, IaC, CI/CD, and container orchestration.
Design, build, and operate large-scale batch and real-time data pipelines on Google Cloud Platform, working with BigQuery, Dataflow, and other GCP managed services to turn raw data into business insights.
Data Engineer at Italian banking group Credem, designing and managing end-to-end data architecture on Google BigQuery, building data lake infrastructure, and developing automated Python/SQL data pipelines in a hybrid role based in Reggio Emilia or Milan.
Data Engineer building a central Databricks-based data platform focused on AI applications, developing data pipelines, modeling data structures, and building data products using Python, SQL, and ETL/ELT.
Designs and optimizes data pipelines and data platforms for next-generation telecom networks, collaborating with OSS architects and international stakeholders using ETL/ELT, GCP (Dataflow, BigQuery), Databricks, Kafka, and REST/GraphQL APIs.
Design, build, and operate large-scale GCP data processing pipelines using ELT principles, turning raw data into actionable business insights with a focus on security and scalability.
Data Engineer designing and building modern data solutions within the Microsoft Fabric and Azure ecosystem, collaborating with technical and business stakeholders to translate needs into concrete solutions.
Senior AI & Data Engineer building data pipelines, performance metrics, and LLM-based automations for digital marketing analytics across client and internal projects.
Data Engineer at Prima, an online motor insurance provider, building and maintaining data products and pipelines for the pricing and underwriting domain using Kafka, Spark, Python, and AWS.
Azure Data Engineer bridging Data Science and Data Engineering, building data acquisition, transformation, and loading pipelines into data lakes for analytics and ML using Azure Data Factory, Synapse, Databricks, and Spark.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data sources in an enterprise environment using Python/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP).
Junior Data Engineer building data pipelines and data products for analytics and data science at a motor insurance company, collaborating with data scientists and ML engineers.
Shape data product architectures for analytics and ML, build scalable batch and streaming data pipelines, and collaborate with data scientists using Kafka, Flink, Spark, Databricks, and Airflow in a cloud-based environment.
Data Engineer at Prima builds, publishes, and maintains data products and pipelines that power pricing and underwriting decisions for motor insurance. The role combines machine learning and engineering to deliver scalable data solutions for a fast-growing insurance company.
Lead the architecture and evolution of a hybrid enterprise data platform for an investment management firm, working hands-on with Snowflake, Airflow, Kafka, Python, and SQL across cloud and on-prem environments.
Senior Data Platform Engineer designing and developing highly scalable Java backend components, optimizing distributed database systems and queries for a global mobile communications leader in Barcelona.
Big Data Engineer designing and developing Spark/Scala data pipelines in a regulated environment, collaborating with Business Analysts and Data Modellers on large-scale batch processes.
Senior Data Engineer designing and deploying ELT pipelines on Snowflake using dbt, Python, and Terraform for a financial services firm's data platform.
Senior Data Engineer for a hybrid role in Madrid, building data solutions with PySpark, SQL, and AWS on client projects at an IT consulting firm.
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