This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Software Engineer – Data Engineer based in Spain.

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and data-driven product development. In this fully remote role, you will take end-to-end ownership of ETL/ELT pipelines, transforming complex raw data into reliable, well-structured, and accessible datasets. You will work with modern cloud platforms, data warehousing technologies, and programming tools to deliver robust, high-performance data solutions.

Collaborating with engineering, product, analytics, and data science teams, you will translate business requirements into dependable data architectures. You will also play a key role in improving data quality, system observability, scalability, and cost efficiency across production environments. This opportunity offers the chance to tackle challenging engineering problems alongside an international team of talented professionals, with versátil working arrangements and opportunities for continuous growth.

Accountabilities

Data Pipeline Development

Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from diverse internal and external sources.

Data Modeling and Architecture

Develop and optimize data models, schemas, and transformation logic to support analytics, reporting, business intelligence, and downstream application requirements.

Data Quality and Reliability

Establish and maintain data validation processes, quality checks, and reliability standards to ensure datasets remain accurate, consistent, and trustworthy.

Pipeline Monitoring and Troubleshooting

Monitor pipeline performance and health, independently investigate data issues, identify root causes, and implement effective solutions to minimize disruptions.

Observability and Alerting

Implement monitoring, alerting, and observability practices that improve visibility into production data systems and enable proactive incident detection and resolution.

Cloud Data Infrastructure

Build and maintain data solutions using cloud platforms and modern data warehousing technologies, ensuring systems remain scalable, secure, and efficient.

Performance and Cost Optimization

Identify opportunities to improve processing speed, resource utilization, scalability, and the cost-effectiveness of existing data infrastructure.

Cross-Functional Collaboration:

Partner with analytics, product, data science, and engineering teams to understand their data requirements and translate them into durable, well-designed technical solutions.

Testing and Engineering Standards

Contribute to team standards for code quality, automated testing, code reviews, deployment practices,



and maintainable data engineering workflows.

Technical Documentation

Create clear and comprehensive documentation covering data pipelines, models, schemas, infrastructure, and operational procedures to support knowledge sharing and maintainability.

Production Support

Participate in on-call rotations and incident response activities as needed, helping ensure the stability, availability, and reliability of production data systems.

Continuous Improvement

Evaluate new technologies, tools, and engineering practices that can strengthen the data platform and improve the effectiveness of the wider engineering organization.

Requirements

Professional Experience

At least four years of professional experience in data engineering or a closely related technical discipline, with a strong track record of delivering production-ready data solutions.

SQL Expertise

Strong SQL skills, including the ability to query, transform, analyze, and optimize complex datasets efficiently.

Programming Skills

Proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java.

ETL/ELT Pipeline Experience

Hands-on experience designing, implementing, operating, and maintaining ETL/ELT pipelines in production environments.

Cloud Platform Knowledge

Practical experience with at least one major cloud data platform, such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Modern Data Warehousing

Experience working with contemporary data warehousing technologies and designing solutions that support reliable data access and downstream analytics.

Data Modeling and Quality

Solid understanding of data modeling principles, schema design, data quality management, and pipeline orchestration.

Troubleshooting and Problem-Solving:

Ability to work independently with large, complex datasets, diagnose data issues, and implement effective solutions in production systems.

Scalability and Reliability

Understanding of the engineering principles required to build robust, maintainable, and cost-efficient data infrastructure.

Communication and Collaboration

Ability to communicate technical concepts clearly, document solutions effectively, and collaborate with multidisciplinary teams in an international, distributed environment.

Ownership and Adaptability

A proactive approach to problem-solving, a strong sense of responsibility for production systems, and the ability to work autonomously in a remote-first environment.

Nice to have





Experience with workflow orchestration tools such as Apache Airflow, Dagster, or similar technologies.

Familiarity with streaming data technologies, including Apache Kafka or Amazon Kinesis.

Experience with dbt or comparable data transformation frameworks.

Exposure to infrastructure-as-code practices and tools such as Terraform.

Previous experience working directly with analytics or data science teams to support reporting, experimentation, and advanced analytical use cases.

Experience contributing to engineering standards, improving development workflows, and supporting production systems at scale.

Benefits

Competitive Compensation

Salary-based compensation complemented by benefits.

Paid Time Off

Paid vacation and sick leave to support personal well-being and work-life balance.

Fully Remote Work

Work remotely from Europe.

Adaptable Working Hours

Organize your working schedule flexibly, with an emphasis on delivering high-quality results rather than adhering to rigid working hours.

Home Office Equipment Allowance

Receive a generous allowance to equip your home workspace for productivity and comfort.

Coworking Options

Access a desk at a nearby office or coworking facility, with the flexibility to work from home, use a coworking space, or combine both options.

No Business Travel Required

Enjoy a fully remote working arrangement without mandatory business travel.

International Engineering Team

Collaborate with highly skilled software engineering specialists on challenging projects for major enterprise clients.

Professional Development

Access opportunities to expand your technical expertise, work with modern technologies, and grow professionally.

Collaborative Work Environment

Join a dynamic, startup-style culture that encourages innovation, knowledge sharing, and practical problem-solving.

Technical Ownership and Impact

Take responsibility for meaningful data engineering initiatives that support analytics, reporting, and product capabilities.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

📌 Senior Software Engineer - Data Engineer (Badajoz)
🏢 Jobgether
📍 Badajoz