Data Platform Lead

buscojobs España; Cádiz; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking a Data Engineering Lead to design high-performance data systems and mentor a team of engineers. Ideal candidates have over 5 years of experience, are proficient in Python and cloud technologies, and can drive innovative solutions within a collaborative culture.

Servicios

Customizable benefits tailored to your region

Opportunities to work on high-impact projects

Flexible and supportive work environment

Formación

• 5+ years of hands-on experience in data engineering.
• Proficiency in Python, Scala, or similar languages.
• Strong experience with relational databases.

Responsabilidades

• Lead and mentor a team of skilled data engineers.
• Design and implement scalable data pipelines.
• Architect hybrid data solutions across cloud infrastructures.

Conocimientos

Leadership

Data Engineering

Real-time Analytics

Stream Processing

Collaboration

Herramientas

Python

Scala

AWS

MySQL

MSSQL

ClickHouse

Grafana

Descripción del empleo

With over 20 years of market presence, Intellias unites top-tier technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. We're on a mission to tackle the most advanced tech challenges of tomorrow — and we want you on board.

We're looking for a

Data Engineering Lead

to spearhead the building and maintenance of scalable, high-performance data systems that bridge on-premises and cloud environments. If you're passionate about data engineering, cloud technologies, and streaming solutions, and you're ready to take on a leadership role in a dynamic, global tech environment — this is your opportunity.

What You’ll Do

• Lead and mentor a team of skilled data engineers, acting as the go-to technical authority.
• Design and implement scalable data pipelines with a strong emphasis on stream processing and real-time analytics.
• Architect hybrid data solutions across cloud (preferably AWS) infrastructures.
• Drive the migration of selected services from cloud to on-prem as part of cost-optimization strategies.
• Ensure system reliability, scalability, and integrity with robust delivery mechanisms and high availability.
• Collaborate closely with cross-functional teams including architecture, software engineering, and product to align technical strategy with business goals.
• Stay ahead of emerging technologies and integrate best-fit solutions into our data ecosystem.

What You’ll Bring

• 5+ years of hands-on experience in data engineering, with proficiency in Python, Scala, or other languages for designing and managing stream processing workflows.
• Strong experience with relational databases like MySQL, MSSQL, and analytical DBs.
• Working knowledge of ClickHouse or similar data warehouse technologies.
• Familiarity with tools such as Flink, Redis, Superset, Cube.js, Grafana.
• Nice to have: Proven track record of leading engineering teams, providing mentorship and technical direction. Experience optimizing solutions for hybrid environments (cloud + on-prem). Familiarity with data terminology and challenges is a big plus.

People always come before processes. We’ve created a tech-savvy and people-first environment where innovation thrives and careers flourish. Here’s what you can expect:

• A collaborative culture that celebrates curiosity, autonomy, and ownership.
• Opportunities to work on meaningful, high-impact projects with cutting-edge technologies.
• A flexible and supportive work environment that prioritizes your well-being and growth.
• Customizable benefits tailored to your region and needs.