
Data Engineer / Architect
Plain Concepts • Spain
Posted: August 12, 2026
Job Description
🚀 We’re Growing Our Data Dream Team!
Titles? Meh, we’re not big on them, but let’s call this one Data Architect 😉
As part of our international Data squad, you’ll craft tailor-made architectures that wow our clients. We’re hunting for a passionate Data Architect with a strong technical vision. Your mission? Design, lead, and evolve data platforms that drive innovation — and that’s just the beginning.
Here’s the deal:
- 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.
- 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.
Additional Content
🚀 We’re Growing Our Data Dream Team!
Titles? Meh, we’re not big on them, but let’s call this one Data Architect 😉
As part of our international Data squad, you’ll craft tailor-made architectures that wow our clients. We’re hunting for a passionate Data Architect with a strong technical vision. Your mission? Design, lead, and evolve data platforms that drive innovation — and that’s just the beginning.
Here’s the deal:
- 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.
- 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.