Top Data Engineer Jobs in Spain

Design, build and maintain scalable data pipelines, models and infrastructure to power product analytics. Partner with BI, Data Science and product teams, implement testing/monitoring, and contribute to AI-enabled tooling and analytics platforms.

Own the finance data domain by developing financial data products and models, integrating and improving data quality, monitoring freshness and completeness, and resolving reconciliation issues. Build reports, alerts, automations, and LLM agents using Python, SQL, Snowflake, Airflow, and dbt. Communicate data issues clearly to Finance leadership and ensure financial reporting and planning data remains accurate and reliable.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

Design, build, and maintain data ingestion and transformation pipelines; manage storage and processing layers; ensure data quality, performance, and reliability; implement data engineering best practices; provide technical leadership and mentor data engineers.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Support development and maintenance of data pipelines and systems for analytics and visualization. Process and analyze large datasets, contribute to AI-driven projects, design RAG architectures, improve data quality, and collaborate with Product and AI teams to advance the Sonata platform.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Designs and maintains scalable, real-time data infrastructure, including ingestion, pipelines, storage, analytics, data models, APIs, and observability. Develops AI-powered workflows and integrates AI services into cloud-native SaaS products. Owns features through production, ensures data quality and reliability, collaborates with cross-functional engineering and product teams, and supports production-scale systems using streaming, cloud, containerization, and relational database technologies.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Design and build scalable real-time and batch data pipelines for programmatic advertising, integrating SSP, DSP, ad server, and reporting data. Develop data models, warehouses, lakes, ETL/ELT workflows, auction analytics, yield optimization, and quality monitoring. Support BI teams with performant datasets while ensuring GDPR and CCPA compliance. The role requires ownership of architecture through deployment and collaboration with engineering and analytics teams.

Manage full lifecycle of data center design and construction projects to meet quality, budget, and timeline targets. Lead project teams, oversee budgets and risk mitigation, ensure regulatory compliance, integrate sustainable and technical solutions (BIM, automation), and coordinate stakeholders including clients, contractors, and government agencies.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

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.

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.

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.

Lead design, build and operate a hybrid enterprise data platform. Define architecture, roadmaps, reliability and observability standards, automate infrastructure and CI/CD, integrate batch and streaming pipelines (Snowflake, Airflow, Kafka), mentor engineers, run design/code reviews, and ensure security and regulatory compliance.

Design, build and operate scalable ELT pipelines and data products on Snowflake using dbt and Python. Develop IaC (Terraform), enforce data contracts and governance, collaborate with stakeholders to improve security, compliance and platform reliability, and translate product requirements into platform capabilities.

Design, build and improve a cloud-based data platform focused on Snowflake. Develop reusable ingestion, transformation and distribution components, implement IaC with Terraform, use orchestration tools (dbt, Airflow), collaborate with stakeholders on security, compliance and product delivery, and apply SDLC practices.

Design, build, and operate scalable ELT pipelines and Snowflake-based data products using dbt and Python. Implement IaC (Terraform), enforce data contracts and governance, collaborate with architects/security/product owners, and support reporting, regulatory and enterprise analytics for fund accounting and related domains.

Design, build and improve a cloud-based data platform with Snowflake. Develop reusable ingestion, transformation and distribution components, implement IaC with Terraform, use orchestration tools (dbt, Airflow), collaborate with stakeholders on secure, compliant, and scalable platform solutions.

Lead design, build and evolve a hybrid enterprise data platform. Set technical roadmap, enforce reliability/observability/security standards, drive IaC/CI-CD automation, integrate Snowflake, Airflow and Kafka pipelines, mentor engineers, and collaborate with architecture, security and governance teams.

Lead design and build of end-to-end scalable data pipelines and data models (dimensional modeling) using SQL, dbt, Airbyte, and Airflow. Partner with stakeholders to deliver clean data for analytics and ML, mentor engineers, enforce data governance, and support performance tuning and documentation.