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On-site Data Engineer (Palantir) in Madrid focused on building scalable data pipelines, data modeling, and governance using PySpark and ETL/ELT technologies at a client site.
Senior Data Engineer (5+ years) in Madrid on a hybrid schedule (2 days on-site), building cloud data pipelines, ETL/ELT processes, and applied AI solutions using Python and SQL.
As a Senior Data Engineer, you will operate as a technical expert responsible for designing, building, and scaling enterprise-grade data engineering solutions across our cloud-native data platform on Azure and…
Data Engineer building scalable ELT/ETL pipelines and data lake/lakehouse solutions using Python, SQL, and cloud services for a Finnish data consultancy.
Senior Data Engineer responsible for designing, implementing, and maintaining scalable data pipelines and data warehouse solutions using ELT/ETL tools for client projects.
Build and operate backend services, APIs, and data pipelines in Go (with Python) for DENIC's Big Data & BI platform, supporting the .de domain registry infrastructure in Frankfurt.
Senior Solution Architect / Data Engineer leading a team of junior Data Engineers, designing and evolving a data platform on AWS/Databricks, building robust ETL/ELT pipelines, and implementing monitoring with Power BI.
Builds and optimizes data pipelines on Saagie using dbt and Python to process, transform, and automate data flows for analytics and business decisions.
Build IoT data pipelines using Python, Kafka, MQTT, time-series databases (InfluxDB, TimescaleDB), and cloud platforms at a French IT services firm.
Build and maintain GCP data infrastructure, including BigQuery pipelines, ETL/ELT transformations, and cloud platform architecture for a grocery retailer.
This role involves building AI-driven data ingestion pipelines and a unified data model for pharmaceutical CMC processes using Python, SQL, and LLM orchestration frameworks. The engineer will develop GxP-compliant infrastructure to integrate data from various laboratory systems and external partners.
Senior Business Analyst consults with clients to turn customer and transactional data into actionable insights using cloud platforms, BI tools, and analytics frameworks, driving strategic decisions and business transformation.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
As a Junior Software Engineer at Yapily, you will help build and scale a data platform by developing data pipelines, billing infrastructure, and APIs using the GCP stack. This role is ideal for a developer with a strong computer science foundation looking to specialize in data engineering within the fintech sector.
Data Architect in AtkinsRéalis's Secure Government unit (Cheltenham), designing enterprise and solution-level data architectures, data models, and pipelines for defence, security, and government clients using cloud platforms, ETL/ELT, and modern data lake/warehouse patterns.
Senior Data Engineer designing and delivering enterprise data and AI platforms on Azure and Databricks, building scalable batch/streaming pipelines and implementing DevSecOps practices for a not-for-profit organisation.
The Data Engineer will design, build, and maintain scalable data pipelines and workflows in Snowflake to support healthcare and life sciences clients. The role requires strong expertise in Snowflake, Python, and SQL to transform raw data into analytics-ready structures while adhering to DevOps and CI/CD best practices.
Job Summary At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed…
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Design and evolve the company's data platform—modeling data structures, optimizing ETL/ELT pipelines, establishing data standards, and coaching colleagues—within a rail-and-road logistics enterprise.
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