Top Data Engineer Jobs in Spain

The Senior Product Data Engineer will build, iterate, and launch data products, focusing on large-scale data processing and ETL/ELT pipelines, using various technologies and implementing AI features.

Join Gartner as a Software Engineer contributing to AI-focused software solutions in a hybrid environment. Collaborate with cross-functional teams to design, build, and maintain scalable systems that deliver actionable insights to enterprise clients.

Design, build, and maintain a petabyte-scale market data lakehouse: capture/normalize exchange and vendor feeds, reconstruct order books, build batch/stream pipelines, manage Iceberg-over-S3 storage, develop tooling/SDKs, and ensure reliability/observability for research and trading.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

As a Data Analyst, you will analyze data for business insights, create dashboards, and collaborate with teams to optimize user experience.

Lead design and ownership of Preply's data lake and end-to-end batch and streaming ingestion pipelines. Define data contracts, implement validation and observability, build enrichment and lifecycle management, enforce governance and privacy, and enable self-service ingestion templates and tooling while driving cross-team collaboration and platform reliability.

Join a Data & AI team to design and operate an AIOps platform, focusing on reliability, automation, and scaling AI solutions in production environments.

The Data Engineer designs big data architecture, optimizes machine learning models, collaborates on data projects, and builds data pipelines.

Design, build, and maintain Snowflake-based data pipelines and transformation models to support credit monitoring, analytics, and ML. Implement transformation frameworks, orchestrate reliable pipelines, onboard data sources, drive data quality, and collaborate with credit stakeholders to enable risk models and reporting.

Design, build, and maintain scalable, high-availability data pipelines and platforms ingesting billions of events daily. Implement ETL/streaming solutions, apply AWS services, optimize storage and databases, ensure monitoring and resiliency, document designs, and contribute to system architecture within an agile team.

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

The Mid-Level Data Engineer will build and maintain data pipelines, ensuring data quality and integration for strategic revenue analysis. Close collaboration with cross-functional teams is essential.

As the Data Engineer, you will design and maintain data pipelines, scale data infrastructure, ensure data quality, and collaborate with analysts to enhance decision-making capabilities.

The Renewables Measurement & Data Engineer will validate renewable measurement data, support on-site measurements, troubleshoot systems, and analyze resource potential and asset performance.

As a Principal Data Engineer, you'll lead a team to design data solutions for regulatory reporting, ensuring quality and compliance while collaborating across stakeholders.

Design, build, and maintain scalable data pipelines and architectures within the Microsoft ecosystem. Collaborate with data scientists and AI engineers to ensure data quality, governance, and performance for analytics, ML, and AI agents. Implement ETL/ELT, data models, CI/CD, and automation workflows using Azure, Databricks, and Power Platform tools.

Build and evolve a cloud-based data platform (Databricks/AWS) to support analytics and AI. Design scalable data pipelines, enable ML/AI in production, enforce governance/observability, define engineering standards, and mentor the data team while collaborating with product, engineering, and business stakeholders.

Build and improve data infrastructure and pipelines, integrate sources, develop analytical data models and reporting, perform ad-hoc business analyses and scenario simulations, and enable data-driven decision-making across teams.

As a Power BI Developer, you'll design and maintain interactive dashboards, translate business needs into data models, and optimize data pipelines, supporting both internal and external clients.

Design and build data pipelines, acquire and store data, transform data into insights, optimize systems, and ensure data quality while collaborating with various stakeholders.

Design, implement, and maintain data capture, processing, storage, distribution and visualization systems. Build scalable, highly available data pipelines and distributed systems on AWS. Write clean, tested code, document designs, propose architecture improvements, and work in an agile team using streaming and big-data tools.

Build and maintain high-performance data ingestion pipelines and features for ML models, write clean testable code, participate in code reviews and architectural decisions, monitor deployments for reliability and performance, and collaborate in an agile team following a "you build it, you run it" philosophy.

Own, run and evolve the Data Privacy Orchestrator that manages data retention, deletion, anonymization and pseudonymization. Build safe-by-default platform abstractions, self-serve tooling, docs and observability; operate production (deploys, alerting, on-call), align legal/security/product, and extend platform coverage across data stores and third parties as the company expands.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Design, build, and optimize scalable data systems and ETL pipelines for real-time and analytical use. Ensure data quality, integrate internal and external sources, develop internal tools, and participate across the software development lifecycle to support product, operations, and marketing needs.