Data Engineer (España)

Data Engineer (España)

15 ago
|
jobtraffic
|
España

15 ago

jobtraffic

España

Descriptionð We’re Growing Our Data Dream TeamTitles? Meh, we’re not big on them, but let’s call this one Data Architect ðAs part of our international Data squad, you’ll craft tailor-made architectures that wow our clients.

Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.

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 ð 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.RequirementsAt 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 da

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