Top Data Engineer Jobs in Spain

Lead design and implementation of scalable, real-time data infrastructure. Build and optimize production-grade streaming pipelines, employ spec-driven development and agentic AI workflows, implement testing/monitoring, take ownership of systems, and mentor junior engineers.

Design and build a scalable cloud data platform on Google Cloud, create reliable batch and streaming ETL/ELT pipelines, enforce data quality and observability, automate IaC/CI-CD, and support analytics, ML, and product teams with high-quality data.

Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.

Own and evolve the enterprise LookML semantic layer, build scalable Looker data products, optimize performance and governance across Looker instances, translate stakeholder needs into reusable models, mentor junior developers, and support conversational analytics and AI-driven queries.

Own and evolve the core data platform: warehouse design, dbt transformations, and production AWS pipelines. Refactor and harden API-driven data flows, ensure observability and testing, partner with backend and product teams, and contribute to data-aware backend features to deliver reliable, product-focused data.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Build and maintain high-performance, fault-tolerant distributed backend services and data pipelines for large genomic and health datasets. Design storage, indexing, and async event workflows; optimize latency, throughput, and reliability. Partner with bioinformatics and product teams to validate scientific accuracy and guard AI-driven responses.

Lead design and implementation of a cloud data platform on Azure. Build ingestion and transformation pipelines (Data Factory, Databricks), enable downstream reporting/APIs (SQL, Cosmos, Synapse), automate deployments (ARM templates, DevOps), advise on data models, integration, security, and BI, and collaborate with architects and engineers to deliver short- and long-term enterprise data solutions.

Lead design and implementation of a cloud data platform: plan milestones, build Azure Data Factory pipelines and Databricks transformations, integrate diverse data stores (SQL, Cosmos DB, Synapse), automate deployments (ARM templates, DevOps), advise on data models, APIs, security, and BI, and provide short-term solutions and best practices for enterprise data needs.

The Tableau Developer will design, build, and maintain Tableau dashboards, optimizing performance and ensuring data accuracy while collaborating with stakeholders.

Design, build and maintain end-to-end finance data pipelines, data marts, and Power BI reports using Snowflake, dbt, Azure Data Factory and CI/CD practices. Collaborate with stakeholders, apply data governance and Agile methods, produce technical documentation, and support evolutive, corrective and adaptive improvements.

Build end-to-end features for a data orchestration platform across Java/Micronaut backend and Vue 3/TypeScript frontend. Implement data-aware orchestration (assets, lineage, freshness, quality), create integrations/plugins (dbt, Fivetran, Airbyte, warehouses), improve UI (flow editor, topology, dashboards), collaborate on 8-week releases, review PRs, and engage with the open-source community.

Manage and integrate Flight Physics processes, methods, tools and data (PMTD). Lead the PMTD portfolio and IPT, drive digital transformation and data governance, coordinate cross-functional initiatives, and deliver integrated solutions to digitalize end-to-end engineering workflows while ensuring timely, cost-effective, and quality results.

As a Senior Data Engineer, you will deliver complex projects, manage customer relationships, and mentor junior engineers while using Databricks and various cloud platforms.

Design and build highly scalable, low-latency market data systems and APIs. Implement backend services, influence architecture, maintain test coverage, participate in code reviews, troubleshoot incidents, and occasionally be on-call. Work spans streaming and historical market data endpoints and developer-focused API improvements.

Design, build, and own scalable data pipelines and models for a high-traffic analytics platform. Lead dbt development, semantic layer, data cataloging/lineage, quality, performance tuning, and mentor the BI/Data team.

Build and own end-to-end features for Fever's native Android app: shape product with PM/Design, implement Kotlin/Compose solutions in a multi-module Gradle codebase, integrate APIs and payment SDKs, instrument experimentation/analytics, iterate from data, and bridge AI/data capabilities into the user experience.

Senior networking engineer responsible for designing, operating, and troubleshooting LAN/WAN/Wi‑Fi across manufacturing and office sites; lead new site network readiness, manage routing, switching, firewalls, VPNs, ISPs and vendor relationships; maintain standards, documentation, and ensure high availability and security of production-critical networks.

Own and operate Databricks-based data platform production support, build and migrate ETL/ELT pipelines to Databricks across Azure/AWS, optimize compute and performance, enforce Delta Lake architecture and data security, implement observability and CI/CD, support multi-tenant onboarding and on-call incident response, and maintain runbooks and SLA metrics.

Own and evolve the company's Snowflake platform and AWS lakehouse (Iceberg tables), manage infrastructure as code (Terraform, GitHub Actions), operate and harden Airflow pipelines, implement access controls and governance, and drive security, reliability, and cost-efficiency across the data platform.

Design and implement end-to-end data architecture (Postgres CDC -> Kafka -> Snowflake). Own ingestion, orchestration, transformation, streaming pipelines, and data quality. Define data contracts, tenant separation, replay/reload, and external delivery. Start hands-on and grow a small data engineering team with a 3/6/12-month roadmap.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.