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We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable data pipelines and platforms…
Senior Data Engineer owning end-to-end data platform architectures (lakehouse, catalogs, governance) at a quantum software/AI company — designing large-scale ETL/ELT pipelines and data models with Python, SQL, Spark, Airflow/Argo, open table formats, and cloud platforms (Azure/AWS/GCP), supporting ML/AI teams. Hybrid role with offices in San Sebastian.
Senior hands-on Python data engineer who builds metadata catalogue, lineage, and entitlement layers that let AI agents safely discover and use a global investment manager's on-premise data estate. Day-to-day: Python/SQL pipelines, crawlers and connectors, Kafka event-driven integration, search/document stores, and LLM-assisted metadata enrichment. Remote from Spain on a Spanish contract via Intell
Designs, builds and optimizes data pipelines on Microsoft Azure (Azure Databricks, Python, Delta Lake, Parquet) within Bronze/Silver/Gold data lake architectures, working in Agile/Scrum teams. Hybrid remote role based from Ayesa Digital offices in Spain.
Data Engineer building and optimizing data pipelines in Azure Databricks with Python, working with Delta Lake/Parquet storage and Bronze/Silver/Gold lakehouse architectures for high-performance analytics platforms. Hybrid remote role based from Ayesa Digital offices in Spain, working in Agile/Scrum teams.
Data Engineer developing and optimizing data pipelines in Azure cloud environments using Azure Databricks, Python, Delta Lake and Parquet, working with Bronze/Silver/Gold data lake architectures on high-performance analytics platforms. Hybrid remote from Ayesa Digital offices in Spain, collaborating in Agile/Scrum teams.
Senior Data Engineer at EY GDS Spain (hybrid, Málaga) building data platforms and robust solutions on Databricks for international client projects across Azure, GCP and AWS. Day to day involves SQL, Python and pySpark pipelines, big data processing, and data warehouse/lake modeling.
Data Engineer at atmira in Valencia (hybrid) who builds and maintains data ingestion and transformation pipelines: ETL/ELT over structured sources and files in Amazon S3, SQL models and datamarts in Amazon Redshift, using Python, PySpark/Spark, Talend and Power BI within a Scrum team.
Data Engineer at Ayesa Digital building and optimizing data pipelines in Azure Databricks with Python, implementing Data Lake transformation/loading processes using Delta Lake, Parquet, and Bronze/Silver/Gold medallion architectures. Hybrid remote from company offices in Spain, working in Agile/Scrum teams.
Principal Data Engineer at Roche in Sant Cugat del Vallès (hybrid, Spain-based only): a hands-on technical lead designing and optimizing AWS data architectures and PySpark/SQL workflows (Iceberg, Parquet), defining GenAI strategy for diagnostic products, and mentoring developers.
Staff engineer on Rippling's Data Cloud team building large-scale data ingestion pipelines and analytics infrastructure (Python, Kafka, Iceberg, Temporal) for a multi-tenant platform syncing billions of rows daily across tens of thousands of customers, replacing customers' need for separate data lakes, warehouses, and pipelines.
Build and optimize Amplitude’s Nova OLAP engine, a distributed system processing trillions of events to power AI-driven product analytics and autonomous experimentation for thousands of customers.
A hands-on senior Python engineer building secure AI-agent data foundations for Intellias's global investment-management client in London: production Python services, data pipelines, catalogue/semantic/entitlement layers, and agent-facing retrieval (RAG, vector search, MCP APIs). Core stack: Python, SQL, columnar formats, query engines (DuckDB/Trino/Spark/ClickHouse), and LLM/agent tooling.
Builds GPS-denied navigation and targeting software for autonomous defense platforms: designing vision navigation and sensor-fusion/state-estimation algorithms (IMU, cameras, LiDAR, radar, GNSS) in modern C++ on Linux, with optional PyTorch/CUDA deployment on embedded Jetson hardware, from simulation through flight testing.
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
Our client is searching for a Data Engineer for a remote temp-to-perm role. ***All candidates must work directly for TEKsystems on a W2 basis until this position converts to full-time employment and no sponsorship is…
Entry-level software engineer at Sift, an early-stage startup building real-time telemetry observability for mission-critical engineering teams. The role involves designing scalable data processing and visualization systems using Go, React, TypeScript, Rust, Kafka/Flink, and AWS/Kubernetes, working in-person twice weekly in Marina Del Rey, CA.
Senior hands-on data engineer building the catalogue, metadata, entitlement and lineage layers that let AI agents safely access large on-premise data estates at regulated financial firms. Core stack: Python, SQL, Kafka, search/document stores, lineage modelling and LLMs for drafting metadata.
Senior AI Systems Engineer designs and maintains scalable infrastructure for AI model training and inference at an aerospace company, using cloud-native tools and LLM-serving frameworks.
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