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Capitole is hiring a Data Engineer for a hybrid role in Barcelona to help build a data platform from scratch. Day to day, the person develops and maintains ETL/ELT pipelines in a Lakehouse environment using Databricks (Unity Catalog), Azure Data Factory, Spark, and Delta Lake, while ensuring data quality in production.
Senior Data Engineer in Madrid building scalable data solutions and pipelines for advanced analytics at a client company, using big-data technologies like Hadoop and Spark and coding in Python, Java, SQL, and/or Scala. The role supports ML initiatives, requires collaboration with technical teams and clients, and travel is required.
Senior Data Engineer on Mercedes-Benz Group Services Madrid's Aftersales 'Data Driven Pricing' project: designing, building and maintaining scalable AWS data pipelines, automating ingestion/transformation, ensuring data quality, and supporting Data Scientists using Spark, Python/Java/Scala, SQL, orchestration and DevOps tools in a hybrid work model.
A senior engineer building production-grade AI/ML systems — LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows — at a product-led learning-tech company in Madrid (hybrid). Day to day: Python/ML and software engineering on AWS with Airflow/ML platforms, collaborating with Product, Data, and Engineering teams.
Senior Data Engineer joining a high-impact tech project in Spain (hybrid model), designing and evolving scalable data solutions in complex cloud environments. Day-to-day work centers on building and maintaining data pipelines and processing large data volumes with Databricks, Apache Spark, Airflow, and Apache Iceberg.
Trust In Soda is hiring a Senior AI/ML Engineer in Madrid (hybrid) to build production-grade AI systems for an AI-powered learning product, working with LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows alongside Product, Data, and Engineering teams. Core stack: Python, ML, AWS, and Airflow.
Senior Data Engineer with 8-12 years of experience who leads data governance, quality and architecture initiatives and hands-on builds scalable data pipelines on GCP (BigQuery, Cloud Composer/Airflow, Dataproc, GCS) with Python, serving a major European banking client. Advanced English (B2-C1) is required.
Senior Data Engineer in Madrid (hybrid) building ELT pipelines with dbt on Snowflake for a financial services firm's data platform, covering fund accounting, NAV and regulatory reporting data products, plus Terraform-based infrastructure and data quality/monitoring. Core stack: Snowflake, dbt, Python, Airflow.
Senior Data Engineer building secure, scalable ELT pipelines and platform components with Snowflake and dbt for a leading international financial services firm in Madrid (hybrid). Day to day: data modeling, data contracts, quality monitoring, and infrastructure-as-code with Terraform alongside governance, security and compliance teams.
A Senior Data/AI-ML Engineer in Madrid builds production-grade AI systems for a product-led learning company, working with LLMs, RAG architectures, LangChain/LangGraph, and multi-agent workflows on AWS and Airflow. The role is hybrid, collaborating with Product, Data, and Engineering teams.
Pay of £57,946, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. DWP is the UK's largest government department. We help people into…
Hybrid (Chile) semi-senior Data Engineer working on LATAM Airlines' cargo digital transformation: building end-to-end data integration flows (batch and real-time) on GCP using APIs, Pub/Sub, Storage and BigQuery, with monitoring, quality rules, governance and Confluence documentation.
Senior data engineer (5+ yrs) building analytics-ready healthcare data pipelines: semantic models, curated datasets with dbt, and ETL/data warehousing on Snowflake. Hybrid role (3 days in office) across several Indian cities, with nice-to-have exposure to Cortex AI, Azure, Spark and Kafka.
Senior Azure data engineer building scalable enterprise data solutions (Azure Databricks, Data Factory, Azure SQL, medallion architecture) while also designing and deploying AI apps and agents on Azure AI Foundry, applying LLM and prompt engineering skills in governed enterprise environments.
UST is hiring a Senior Python Data Engineer in Bangalore (immediate joiners emphasized) to build scalable ETL/data pipelines and offline evaluation workflows (nDCG, MRR, MAP@K) for ML/recommender systems. Core stack: Python, PySpark, SQL, workflow orchestration, Git/CI-CD.
Senior Data Engineer building AWS-based data integration pipelines that transform relational database data into enterprise Knowledge Graphs on Amazon Neptune. Day-to-day work centers on SQL, Python ETL frameworks, RDF/SPARQL semantic modeling, and AWS services like Glue, Lambda, S3, Athena, and Step Functions, with Terraform-based CI/CD.
TechNET IT Recruitment is hiring Senior Data Engineers in India for long-term contract roles serving global enterprises. Day to day: designing and optimizing ETL/ELT pipelines and cloud/lakehouse data platforms using Python, SQL, Azure/AWS/GCP, and tools like Databricks, Snowflake, Spark, and Data Factory.
Senior Data Engineer on a 6-month contract building and maintaining AWS data pipelines, Redshift data warehouse solutions, and ETL/ELT processes using S3, Glue, AppFlow, Lambda, SQL, and Python, with AI/GenAI tooling experience. Remote role in India (Mumbai, Delhi, or Bangalore preferred), working 2:00 PM–11:00 PM IST.
Perficient India is hiring a Senior Data Engineer (6+ years) for a hybrid role across several Indian cities to build ETL/ELT pipelines, Snowflake + dbt transformation workflows, and data quality frameworks supporting dealer data initiatives. Core stack: SQL, Python, Snowflake, dbt, and Fivetran.
Sembridge is hiring a Senior Snowflake Data Engineer in Noida (on-site) to design, build, and optimize enterprise-scale data pipelines and cloud-native data platforms using Snowflake, Snowpark, SQL, Python, and dbt. A valid Snowflake certification (SnowPro Core/Advanced) is mandatory, and 7+ years of data engineering experience is required.
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