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Senior Data Engineer on the Data Consumption team at JLL, designing and delivering data contracts and Delta Sharing across the Enterprise Data Platform using Databricks, Unity Catalog, and Azure data services.
Lead Data Engineer designing scalable on-prem and cloud data platforms, developing pipelines with Python, PySpark, SQL, and Databricks, while mentoring the team and shaping data strategy.
Data Engineer developing and maintaining ETL pipelines, datasets, and analytics tooling using SQL, Python, cloud data warehouses, and orchestration tools to power campaign insights, attribution, and reporting.
The Data Engineer will manage, optimize, and scale albo's financial data infrastructure, including the SPEI payment system. The role involves building ETL pipelines, managing hybrid databases, and leveraging AI tools to automate tasks and optimize performance on Google Cloud Platform.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Senior Geospatial Data Engineer designing and maintaining scalable cloud-based geospatial data pipelines and ETL processes for the Xtrack rail-industry product, using Python, big data technologies (Spark, Kafka), and cloud platforms (GCP/AWS/Azure).
Data Engineer building Snowflake data platforms and Python-based ETL pipelines to transform telemetry and log data into trusted insights for a large IT services company.
Build and maintain applications on Google Cloud Platform using Python and Vue.js, integrating APIs and microservices in an Agile IT consultancy environment.
Junior Data Engineer designing and developing data pipelines and AI agent solutions on Google Cloud Platform using Python, SQL, and LLMs for a cybersecurity consulting group.
Senior Big Data Engineer specializing in Databricks, designing Lakehouse architectures, optimizing ETL/ELT pipelines, and providing technical leadership within a digital services consultancy focused on SAP.
¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las…
Data Engineer maintaining and evolving Big Data ETL pipelines using PySpark, Python, and SQL in Cloud environments (Azure-Databricks/AWS), with incident management via ServiceNow and production deployment responsibilities.
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
Senior Data Engineer building metadata catalogues, lineage integration, and AI-ready data foundations for a global investment management firm using Python, SQL, Kafka, Elasticsearch/OpenSearch, and LLMs.
Design and implement a metadata-driven automation engine for a Raw Data Vault 2.0 architecture at NTT DATA, building reusable mechanisms to auto-generate Hubs/Links/Satellites, detect schema evolution, and govern controlled data model changes using advanced SQL.
Senior Data Engineer designing and optimizing data ingestion, transformation, and orchestration pipelines using Apache Spark, Databricks, MongoDB, Delta Lake, Airflow, and Azure Data Factory on cloud environments.
Data Engineer designing and maintaining scalable ETL/ELT pipelines and large-scale data processing frameworks using Python, Pandas, and NumPy, with CI/CD, cloud (Azure), and production DevOps responsibilities.
Senior Data Engineer designing and evolving Data Products, data pipelines, and domain-oriented data models on Azure/Databricks to power AI-enabled business software.
Senior Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Azure and Microsoft Fabric for an aeronautical software company, working with ADF, Databricks, Synapse, ADX/KQL, Spark, and Power BI.
Data Engineer working on large-scale projects using Databricks, PySpark, Spark, and Cloud technologies to build and evolve data platforms, process large volumes of information, and develop data pipelines and Data Lake/Lakehouse architectures.
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