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Senior Data Engineer - Remote/Hybrid
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL to ingest and process data for clients.
Data Engineer - AI
Build and optimize data pipelines on Google Cloud Platform to support AI-driven solutions using SQL, Python, and DBT.
Data Engineer with SQL
Senior Data Engineer to build and run a Databricks-based data platform for dynamic pricing and BI in high-volume retail, using Medallion architecture and Azure Data Factory pipelines.
Data Engineer - murcia
Build and optimize scalable data pipelines on GCP using BigQuery, dbt, and Airflow to deliver reliable, high-quality datasets for analytics and data science teams.
Data Engineer (Databricks)
Senior Data Engineer to build and run a Databricks-based data platform for dynamic pricing and BI in high-volume retail, using Medallion architecture, PySpark/SQL, and Azure Data Factory.
Senior Data Engineer: Scale Pipelines & Metrics Platform
Build and scale data pipelines from Postgres, MongoDB, and external streams into a warehouse using ClickHouse, BigQuery/Redshift, dbt, and Python to deliver reliable insights for media products, marketing, and finance.
Data Engineer - bilbao
Builds and maintains data pipelines for a life-science project using Azure, Databricks, Spark, Scala, Airflow, Python, and SQL.
Data Engineer - castro
Builds and maintains scalable data pipelines using Snowflake and dbt to transform and optimize modern data platforms for digital transformation projects across industries.
Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark and cloud tech to power investment analytics for a global financial-services firm.
Senior Data Platform Engineer | AWS, Spark & DevOps
Designs and maintains modern AWS-based data platforms, building scalable batch/streaming pipelines, optimizing data lakes/warehouses, and automating deployments with DevOps tools like Spark, Airflow, and IaC.
Data Engineer / Cloud Data Engineer (AI Center of Excellence)
Design and build enterprise-scale data platforms (lakes, lakehouses, ETL/ELT pipelines) that feed AI and analytics workloads, using cloud-native tools like Microsoft Fabric, Databricks, and Snowflake.
Data Engineer
Build and maintain scalable data pipelines on Snowflake using SnowPipe and dbt, ensuring clean, reliable data for analytics and AI/ML workloads.
Data Engineer Manager
Leads a team that designs, builds, and maintains automated data pipelines in a cloud-native environment, ensuring clean, governed data for analytics and downstream systems using tools like Spark, Airflow, Snowflake, and Databricks.
Data Engineer: Snowflake Pipelines & ETL Expert
Design and build scalable data pipelines using Snowflake, SnowPipe, and dbt to ingest, transform, and enable analytics for client environments.
Data Engineer: Snowflake & AWS Pipelines (Hybrid)
Builds and maintains scalable data pipelines in AWS and Snowflake, writing SQL/Python and enforcing data quality and security for a product-focused team.
Analytics Engineering Lead - Data Platform & AI
Lead the build of data pipelines and AI integrations for a fintech platform, using dbt, BigQuery, Airflow, and LLM APIs to ensure reliable, secure analytics and agent workflows.
Data Engineer
Design, build, and maintain scalable data pipelines and analytics solutions using AWS, Python, SQL, PySpark, and Apache Airflow for a hybrid role in Madrid.
Senior Data Engineering Pre-Sales Consultant
Senior data engineer leads complex data projects, mentors teams, and designs scalable architectures using Databricks, Snowflake, and dbt while providing pre-sales technical consulting.
Principal Data Engineer (GCP)
Leads the design and delivery of a cloud-native data platform on GCP, mentoring engineers and setting standards for scalable, compliant data pipelines and governance.
Data Engineer – MVA Inference & Audience Development (Remote, Global)
Builds ETL/ELT pipelines and privacy-safe inference layers for marketing audience segmentation using aggregated historical data in cloud data warehouses.