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# Data Engineer / Architect

- **Company:** Plain Concepts
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Systems, Data Warehousing, Distributed Systems, NoSQL, Performance Tuning, SQL Databases, Data Streaming, Snowflake, Apache Spark, Infrastructure as Code (IaC), Data Management, Data Pipelines, Databricks
- **Published:** August 12, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=f8028efe276de4b5

## About the Role

* At least 3 years of experience in data architecture or senior-level data engineering.
 * Proven experience designing and implementing scalable data platforms and architectures on Azure and/ or AWS.
 * Strong knowledge of data modeling, distributed systems, and big data technologies (e.g. Spark, Databricks).
 * Hands-on experience with Big Data technologies such a Spark, Databricks, or equivalent frameworks.
 * Familiarity with CI/CD processes and infrastructure as code (IaC).
 * Experience with SQL and NoSQL databases, and data warehousing solutions (e.g. Snowflake, Fabric).
 * Strong communication skills to engage with both technical and business stakeholders.
 * Experience leading technical initiatives involving multiple teams, stakeholders, or business areas.
 * Fluent English.
 * A strong team player mindset.

## Description

* You'll tackle the unique challenges of Data-powered software alongside a team of brilliant minds.
 * You'll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
 * Whether you prefer working from home or vibing with us at our offices, the choice is yours.
 * AGILE isn't just a buzzword here - it's how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.
 * Ready to take on projects that matter, with a team that's as passionate as you are? Let's make it happen!

You will be responsible for:

 * Leading the design and development of scalable, secure, and robust data architectures.
 * Defining best practices and architectural standards across data platforms.
 * Collaborating with engineering teams to implement and evolve data solutions aligned with business needs.
 * Designing end-to-end data flows, from ingestion to analytics, across cloud and hybrid environments.
 * Supporting the development of data pipelines and modeling strategies.
 * Advising on storage, governance, and performance optimization.
 * Evaluating new tools and technologies to continuously improve our architecture landscape.


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