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Lead Data Engineer designing and orchestrating enterprise-scale cloud analytical platforms, focusing on data flows, governance, and observability using Databricks and AWS.
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 ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
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.
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 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.
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.
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.
The Data Engineer will work on data ingestion and modeling projects for an automotive client using Snowflake, dbt, and Airflow. The role focuses on building and transforming data within a cloud environment to support production key indicators.
The BI Developer will design and implement scalable data platforms, develop ETL/ELT processes, and create data models to support business decision-making. The role requires expertise in SQL, Python, PostgreSQL, and data orchestration tools like Airflow.
Data Engineer at Bluetab (IBM Company) developing and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, primarily on Azure, with data lake and warehouse design.
The Data Engineer will design and implement scalable data ingestion pipelines for an automotive client using Python, Airflow, and SQL within a cloud environment. The role focuses on building ETL processes to support cloud platform data modeling and production indicators.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
Data Engineer for a banking-sector project in Madrid (hybrid), building and maintaining data pipelines with Python, Scala, Spark, Airflow, and Kubernetes on IBM infrastructure.
The Data Engineer will build and maintain scalable data pipelines to integrate Machine Learning model predictions into production data products. The role involves using Python, SQL, Spark, and Databricks within a hybrid work environment in Barcelona.
The Senior Backend Spark Developer will design, develop, and optimize high-performance Big Data pipelines using Apache Spark, Scala, or Python. The role involves leading technical architecture decisions and collaborating across teams to ensure scalable data integration within a client contribution platform.
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