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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.
Senior Data Engineer / Databricks Technical Architect designing and developing batch and streaming data pipelines on Databricks and Azure, building Lakehouse architectures with Delta Lake and the Medallion pattern.
The Data Engineer/Technical Architect will design and develop batch and streaming data pipelines using Databricks and Azure. The role focuses on building Lakehouse architectures, optimizing distributed workloads, and implementing data governance standards.
The Senior/Lead Data Engineer will design and optimize large-scale data pipelines using dbt, BigQuery, and Airflow to support AI solutions. The role involves technical leadership, mentoring, and translating business requirements into robust data architectures.
The Senior Data Engineer will design and maintain scalable data pipelines and platforms using Databricks, Python, and SQL to support analytics and AI initiatives. The role involves collaborating with cross-functional teams to ensure high-performance data solutions in a cloud-based environment.
AXPE Consulting is hiring Data Engineers to build and maintain large-scale data platforms, ETL pipelines, and Lakehouse architectures using Databricks, PySpark, and cloud technologies. This is a remote role focused on delivering data solutions for large organizations and financial entities.
Build data platforms on AWS cloud using Spark/PySpark, Python, and AWS services (S3, Glue, Athena, Redshift, etc.) for batch and streaming data ingestion and pipeline orchestration as part of a consulting team.
Data Engineer for a retail-sector project, building ETL/ELT pipelines with Databricks, PySpark, Azure Data Factory, Snowflake, SQL, and Python, in a hybrid setup in Barcelona.
Senior Big Data Engineer designing, developing, and optimizing Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and Hive for a tech consultancy focused on Data & AI transformation.
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