(YZ-741) Data Platform Lead

Intellias; Lugo; Presencial; EUR 55.000 - 80.000; Jornada completa

Descripción de la vacante

Intellias, una empresa líder en tecnología, busca un Data Engineering Lead apasionado por la ingeniería de datos y las tecnologías en la nube. El candidato ideal liderará un equipo, diseñará sistemas de datos escalables y trabajará en un entorno dinámico e innovador, integrando soluciones tecnológicas de vanguardia.

Servicios

Cultura colaborativa

Oportunidades de trabajo en proyectos de alto impacto

Entorno flexible y de apoyo

Beneficios personalizables

Formación

• 5+ años de experiencia en ingeniería de datos.
• Experiencia en Apache Kafka para flujos de trabajo de procesamiento de stream.
• Liderazgo y dirección técnica en equipos de ingeniería.

Responsabilidades

• Dirigir y mentorizar a un equipo de ingenieros de datos.
• Diseñar e implementar pipelines de datos escalables.
• Colaborar con equipos multifuncionales en estrategias técnicas.

Conocimientos

Python

Scala

Java

Apache Kafka

PostgreSQL

MySQL

MSSQL

ClickHouse

Flink

Redis

RabbitMQ

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)

and

on-premises

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

Java . Expertise in

Apache Kafka

for designing and managing stream processing workflows

(a must) . Strong experience with relational databases like

PostgreSQL ,

MySQL ,

MSSQL

and

analytical DBs .



Working knowledge of

ClickHouse

or similar data warehouse technologies. Familiarity with tools such as

Flink ,

Redis ,

RabbitMQ ,

Superset ,

Cube.js ,

Minio ,

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

iGaming industry

terminology and data challenges is a big plus.

Why Intellias? At Intellias,

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.

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