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Specialist Software Engineer (Kafka)

Marionete

Cádiz

Híbrido

EUR 35.000 - 50.000

Jornada completa

Hace 7 días
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Descripción de la vacante

Marionete is seeking a Software Engineer specializing in streaming data and handling data integrations using Apache Kafka. This role focuses on creating efficient data pipelines and real-time analytics, enhancing enterprise systems' capabilities. Candidates should have experience with Java, C#, or Python, alongside strong teamwork skills. Competitive compensation and flexible working conditions are offered.

Servicios

Competitive compensation
Health insurance
Mental health support
Financial support for training
Relaxed dress code
Flexible and hybrid work environment
Career advancement opportunities

Formación

  • Experience as a software engineer with Java, C#, or Python.
  • Hands-on experience with Kafka topics and data pipelines.
  • Good communication skills in English.

Responsabilidades

  • Build and maintain data pipelines using Kafka Connect and Streams.
  • Implement real-time transformations for streaming data.
  • Integrate Kafka with cloud data platforms like Snowflake.

Conocimientos

Kafka
Java
Python
C#
Data Pipelines
Real-time Data Transformation
Team Collaboration

Herramientas

Kafka Connect
Snowflake
Docker
Kubernetes

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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