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Senior Big Data Engineer to design, develop, and optimize data pipelines for an international project, working with Spark, Airflow, Python, Scala, and Kubernetes. Hybrid setup: 3 days per week on-site at Madrid Río with remote days; English required, French considered.
Designs, builds, and maintains scalable data pipelines and analytical models for an edtech company, using SQL, dbt, and cloud data warehouses like Snowflake or BigQuery.
A senior data engineer builds and maintains ELT pipelines and data products (fund accounting, positions, NAV, regulatory reporting) on Snowflake using dbt, Python and Terraform for a leading international financial services firm, partnering with governance, security and compliance teams. Based in Madrid with a hybrid work model.
A Data Platform Engineer at DWS (Deutsche Bank's asset manager) in Madrid designs, builds and maintains the firm's cloud-based enterprise data platform on Snowflake, creating reusable data ingestion, transformation and distribution components using Terraform, Python/Java and orchestration tools like dbt and Airflow.
Big Data Engineer (hybrid in Madrid, 3 days onsite/week) designing, building and optimizing data pipelines and large-scale data platforms for a long-term international enterprise project, using Spark, Airflow, Python, Scala, Kubernetes and IBM Cloud. Requires 4+ years' experience and upper-intermediate English.
Senior Data Engineer & Technical Lead at GFT Technologies in Bilbao, leading teams and ensuring quality on cloud data solutions while collaborating with senior stakeholders. Day-to-day work centers on Python, Google Cloud Platform (BigQuery, Dataproc, Cloud Composer), PySpark, and orchestrating data pipelines with Airflow.
Senior Data Engineer designing and maintaining scalable Azure data pipelines (Databricks, Data Factory, Python/Spark) in collaboration with Data Science and Analytics teams. Permanent contract, 100% remote from Spain with flexible hours.
Data Engineer working on a stable project building and evolving data pipelines and Big Data platform solutions, using Databricks, Apache Spark, Airflow, and Iceberg, with cloud exposure; the position is 100% remote.
A senior data engineer at DWS (Deutsche Bank's asset manager) who designs and operates scalable ELT pipelines and data platform components on Snowflake using dbt, Python, and Terraform, powering fund accounting, NAV, and regulatory reporting data products.
A data platform engineer in Barcelona who administers and evolves a Snowflake-based data platform on AWS: managing warehouses, RBAC, S3/Iceberg integrations, Terraform IaC with CI/CD, Airflow orchestration, and platform security, governance, monitoring, and cost optimization.
Data engineer at UST España & Latam who designs and optimizes data pipelines on Snowflake and Azure, implements dbt models, manages Airflow DAGs, and automates processes with Python. Works in Agile teams applying CI/CD while ensuring data quality, governance, security and scalability, with work-from-home options available.
Data Engineer at SET Iberia, BNP Paribas Personal Finance's IT and data shared service center in Madrid, developing and maintaining big data pipelines and data products with Spark/Scala, Kafka, Airflow, and SQL/NoSQL databases, including migrating legacy Hadoop infrastructure to Kubernetes-based cloud services.
Data Engineer/Data Architect at GFT Technologies in Madrid, designing and implementing data pipelines and scalable Big Data architectures, optimizing ETL/ELT, and ensuring data governance and quality. Core stack: Python, Spark, Kafka, advanced SQL, Data Lake/Delta Lake, AWS/Azure, Airflow/dbt.
RxSense is hiring a hands-on Principal Platform Engineer to lead its greenfield cloud platform end to end: building the Terraform and Helm foundations, running production EKS, shaping CI/CD, security, observability, and cloud cost, embedded with the AI Engineering team.
Mid-level Data Engineer at Qeevo building and maintaining the end-to-end data platform: ingestion and transformation pipelines from transactional databases, ERP, CRM, media platforms and APIs, evolving a bronze/silver/gold architecture in Databricks with dbt, plus monitoring, data quality and a legacy platform migration. Core stack: SQL, Python, Spark/PySpark, AWS and Git.
About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.…
Junior data engineer (1-2 years experience) at Zefr, an adtech company doing AI-powered content classification for brands on platforms like YouTube and TikTok. Day to day: building workflows in Apache Airflow, data transformation pipelines in Snowflake and dbt, and distributed inference systems on AWS/GCP using Python and SQL.
Build and operate the MLOps platform for AI models that power a next-gen micromanufacturing compiler, handling training, deployment, serving, monitoring, and feedback loops.
Senior Data Engineer on the Data Platform & Analytics team designing, building, and operating scalable data pipelines and platform capabilities across Snowflake and AWS, including ETL/ELT orchestration, data quality monitoring, and cost/performance optimization. Core stack is Snowflake, AWS, SQL, Python, and tools like dbt and Airflow.
Senior Data Scientist at Kard builds and ships machine learning and experimentation systems for a card-linked offers platform — offer personalization, ranking, targeting, and causal ROI measurement on large-scale transaction data. Core stack: Python, SQL, PyTorch/XGBoost, Spark, Airflow, dbt, AWS/GCP.
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