Data Engineer

Templeton & Partners - Innovative & Inclusive Hiring Solutions; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Templeton & Partners in Madrid seeks an experienced Senior Data Engineer to design, build and operate end-to-end data pipelines in the FX domain. You will deliver scalable, reliable data platforms and collaborate with stakeholders to solve complex data problems.

Ideal candidates bring 6+ years of hands-on Python and Java, AWS, Spark, and Docker experience, plus a strong focus on production reliability, debugging, and modern AI-assisted development workflows.

Formación

• At least 6 years of professional experience.
• Strong experience with Python and Java.
• Experience with AWS services.
• Hands-on with big data tools and workflows such as Spark.
• Proven experience designing, building, and operating ETL/ELT pipelines.

Responsabilidades

• Design and maintain scalable data pipelines and workflows.
• Build and support data ingestion, transformation, validation, and orchestration processes.
• Work with big data technologies and analytical data storage formats.
• Develop reliable, production-ready solutions with strong attention to debugging and operational stability.
• Collaborate with engineering, data, and business teams to deliver high-quality outcomes.
• Use modern development practices, including AI-assisted and agentic coding workflows, to improve productivity.
• Support platform and infrastructure decisions where needed.

Conocimientos

Python

Java

AWS

Spark

Docker

ETL/ELT pipelines

Herramientas

Airflow

Kubernetes

Descripción del empleo

We are looking for an experienced Senior Data Engineer to join a high-performing technology team working on data-intensive, business-critical systems in the FX space. This role is suited to someone who enjoys building robust data platforms, solving complex engineering problems, and working closely with stakeholders to deliver reliable, scalable solutions.

Role overview

You will design, build, and operate end-to-end ETL/ELT pipelines, supporting data ingestion, transformation, validation, orchestration, and monitoring across large-scale environments. The role requires strong hands-on engineering skills across Python and Java, along with practical experience in AWS, Spark, Docker, and modern data workflows. You will also contribute to system design, production reliability, and the effective use of LLM-based development tools and agentic coding workflows.

Key responsibilities

• Design and maintain scalable data pipelines and workflows.
• Build and support data ingestion, transformation, validation, and orchestration processes.
• Work with big data technologies and analytical data storage formats.
• Develop reliable, production-ready solutions with strong attention to debugging and operational stability.
• Collaborate with engineering, data, and business teams to deliver high-quality outcomes.
• Use modern development practices, including AI-assisted and agentic coding workflows, to improve productivity and code quality.
• Support platform and infrastructure decisions where needed.

Required experience

• At least 6 years of professional experience.
• Strong experience in Python and Java.
• Practical experience with AWS services.
• Hands-on experience with big data tools, workflows, and frameworks such as Spark.
• Proven experience designing, building, and operating ETL/ELT pipelines.
• Strong understanding of analytical data storage formats.
• Solid grasp of software engineering principles, system design, debugging, and production reliability.
• Excellent communication, collaboration, and problem-solving skills.
• Experience with agentic coding workflows and LLM-based development tools.
• Experience with Docker and containerized applications.
• Experience working in FX.

Nice to have

• Experience with ClickHouse, QuestDB, or KX/kdb+.
• Experience with Kubernetes.
• Experience with Kafka or other distributed messaging systems.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Experience with Apache Airflow or similar workflow orchestration platforms.

What we’re looking for

You’ll be a practical, delivery-focused engineer who can take ownership of complex data problems and turn them into stable, scalable solutions. You should be comfortable working in fast-moving environments, partnering with others, and bringing structure and reliability to data platforms that support critical business activity.