Data Platform Lead

Intellias; Donostia/San Sebastián; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Engineering Lead to spearhead the development of scalable data systems bridging cloud and on-prem environments. The role entails mentoring data engineers, designing data pipelines, and ensuring high availability solutions, all while fostering a collaborative and innovative culture.

Servicios

Collaborative culture

Flexible work environment

Customizable benefits

Growth opportunities

High-impact projects

Formación

• 5+ years of hands-on experience in data engineering.
• Proficient in Python, Scala, or similar languages.
• Experience with cloud and on-prem solutions.

Responsabilidades

• Lead and mentor a team of skilled data engineers.
• Design scalable data pipelines with a focus on stream processing.
• Drive migration of services from cloud to on-prem.

Conocimientos

Data Engineering

Python

Scala

Stream Processing

Real-time Analytics

Cloud Technologies

Data Migration

Relational Databases

Team Leadership

Herramientas

MySQL

MSSQL

ClickHouse

Flink

Redis

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 charge in building and maintaining 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 the curve with 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 relevant 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 terminology and data challenges is a big plus.

We believe 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.