Specialist Software Engineer (Kafka)

Marionete; Burgos; Híbrido; EUR 35.000 - 50.000; Jornada completa

Descripción de la vacante

A leading technology consultancy is seeking a Software Engineer passionate about streaming data. You will work hands-on with Kafka and modern data pipelines, focusing on building efficient data flows for real-time analytics and enterprise integration. This role offers a flexible, hybrid work environment with numerous opportunities for professional growth and competitive compensation.

Servicios

Health Insurance

Mental Health Support

Financial Support for Training

Flexible Work Environment

Relaxed Dress Code

Formación

• Experience as a software engineer focused on Kafka and data pipelines.
• Hands-on with Kafka Connect and streaming technologies.
• Good English communication skills and teamwork.

Responsabilidades

• Build and maintain data pipelines using Kafka technologies.
• Implement real-time data transformations and integrations.
• Collaborate to translate data requirements into effective solutions.

Conocimientos

Java

C#

Python

Kafka

Data Pipelines

Real-time Data Transformation

Team Collaboration

English Communication

Herramientas

Kafka Connect

Kafka Streams

Snowflake

Docker

Kubernetes

CI/CD

Azure

AWS

GCP

Descripción del empleo

Marionete is an independently minded, entrepreneurial technology consultancy helping clients exploit tomorrow’s technology to find unexpected solutions to today’s business problems.

We’re looking for a Software Engineer with a passion for streaming data and a strong interest in working with Apache Kafka and modern data pipelines . This role is hands-on, focused on building stream transformations and data integrations , not on maintaining infrastructure.

You’ll help deliver business-critical data flows using Kafka Connect, Kafka Streams, and Snowflake — enabling real-time analytics and platform integration across enterprise systems.

What You’ll Do :

• Build and maintain data pipelines using Kafka Connect, Kafka Streams, and KSQL.
• Implement real-time transformations, enrichments, and routing logic for streaming data.
• Integrate Kafka with databases and cloud data platforms like Snowflake.
• Collaborate with leads and stakeholders to turn data requirements into running code.
• Ensure reliable data delivery across producers, Kafka topics, and downstream consumers.

Must-Have Requirements :

• Experience as a software engineer, working with Java , C# , or Python .
• Hands-on experience producing to and consuming from Kafka topics .
• Comfortable using Kafka Connect to move data across systems.
• Exposure to Kafka Streams or KSQL for real-time data transformation.
• Familiarity with working on data pipelines, databases, and structured data formats (e.g., JSON, Avro).
• Communicates well in English and works effectively in team-based environments.

Nice-to-Haves :

• Experience integrating with Snowflake or other cloud data warehouses.
• Familiarity with containers (Docker, Kubernetes) .
• Understanding of data schemas and Schema Registry .
• Exposure to CI / CD practices or working with DevOps teams.
• General knowledge of cloud platforms (Azure, AWS, or GCP)
• Competitive compensation
• Benefits package, including health insurance and mental health support
• Financial support for ongoing training
• There is a relaxed dress code at the Marionete offices
• An abundance of career paths and opportunities in which to advance
• A flexible and hybrid work environment
• Interview process : 3 interviews

Application

Marionete believes in providing equal employment opportunities to everyone. We do not practice and will not tolerate discrimination based on race, skin color, ethnicity, national origin, gender, sexual orientation, marital status, maternity, religion, age, disability, gender identity, results of genetic testing, or service in the military.

By applying to Marionete vacancies, you agree that your data and CV remain secure and confidential with your application. Marionete is a company in compliance with General Data Protection Regulation (GDPR).

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