Data Platform Lead

buscojobs España; Huelva; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A global tech company seeks a Data Engineering Lead to enhance its data systems across cloud and on-premises environments. The ideal candidate will lead a team, design scalable pipelines, and work with advanced technologies. This role emphasizes mentorship, system integrity, and collaboration to align with business needs, offering a dynamic and supportive work culture.

Servicios

Flexible working environment

Collaborative culture

Customizable benefits

Opportunities for growth

Formación

• 5+ years of hands-on experience in data engineering.
• Proficiency in Python, Scala, or Java required.
• Expertise in Apache Kafka for stream processing workflows.

Responsabilidades

• Lead and mentor a team of skilled data engineers.
• Design and implement scalable data pipelines.
• Drive the migration of services from cloud to on-prem.

Conocimientos

Data engineering

Python

Scala

Java

Apache Kafka

Relational databases

Stream processing

Herramientas

PostgreSQL

MySQL

MSSQL

ClickHouse

Flink

Redis

RabbitMQ

Superset

Cube.js

Minio

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.