▷ Aplicar En 3 Minutos Senior Data Engineer

Marionete; Comunidad Valenciana; A distancia; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative technology consultancy is seeking a skilled Data Engineer to join their remote team. This role offers the opportunity to work with cutting-edge technologies and collaborate with diverse teams to tackle complex data challenges. You will be responsible for designing and managing data pipelines using Apache Kafka, ensuring effective data ingestion and processing. The company promotes a flexible work environment, competitive compensation, and a commitment to professional development. If you are passionate about data engineering and eager to contribute to transformative projects, this is the perfect opportunity for you.

Servicios

Competitive compensation

Permanent position

Health insurance

Mental health support

Financial support for training

Relaxed dress code

Career advancement opportunities

Flexible work environment

Formación

• 5+ years in Data Engineering with strong SQL and ETL experience.
• Fluent in English, capable of mentoring and communicating effectively.

Responsabilidades

• Design and manage Kafka-based data pipelines.
• Collaborate with cross-functional teams for data solutions.

Conocimientos

Data Engineering

English (fluent)

Communication of technical concepts

Mentoring

Cross-functional teamwork

Best practices influence

Self-motivation

Apache Kafka

ETL tools

SQL

Programming (Python, Java, Scala, .NET)

CI/CD pipelines

Git workflows

Herramientas

Apache Kafka

Azure Data Factory

Azure Data Lake

Azure Synapse

Snowflake

Apache Spark

Hadoop

Jenkins

Azure DevOps

GitLab CI/CD

Descripción del empleo

Full-time Data Engineering - Remote

Marionete is an independently minded, entrepreneurial technology consultancy helping clients exploit tomorrow’s technology to find unexpected solutions to today’s business problems. For more information visit us: www.Marionete.Co.Uk

SKILLS

Must-Have Requirements:

1. Minimum of 5 years in Data Engineering.
2. Speaks fluent English (written and verbal) for effective collaboration with stakeholders.
3. Proven ability to communicate complex technical concepts to both technical and non-technical audiences.
4. Capable of providing technical guidance and mentoring to junior team members.
5. Experience working in cross-functional teams, including data scientists, analysts, and DevOps engineers.
6. Ability to influence and establish best practices in data engineering processes.
7. Self-motivated with a growth mindset and an eagerness to stay updated on emerging technologies.

Apache Kafka Expertise:

1. Proven experience designing, developing, and managing Kafka-based data pipelines.
2. Good understanding of Kafka Streams, Connect, or the Confluent Kafka platform.

Data Engineering Skills:

1. Hands-on experience with ETL tools and data ingestion processes.
2. Strong SQL skills, with the ability to write optimized and scalable queries.
3. Proficiency in at least one programming language (Python, Java, Scala, or .NET).

CI / CD:

1. Experience using CI / CD pipelines for development and deployment of data pipelines.
2. Proficiency in Git-based workflows and tools like Jenkins, Azure DevOps, or GitLab CI / CD.

Nice-to-Have Skills:

1. Azure Ecosystem: Knowledge of Azure services like Azure Data Factory, Azure Data Lake, or Azure Synapse. Understanding of Azure’s security and identity management practices (e.g., IAM, RBAC).
2. Snowflake Data Warehouse Experience: Designing and optimizing Snowflake schemas for efficient querying. Implementing ETL / ELT pipelines to load and transform data in Snowflake.
3. Big Data Processing Frameworks: Familiarity with Apache Spark, Hadoop, or other distributed data processing frameworks.
4. Data Governance and Compliance: Understanding of data governance principles, security policies, and compliance standards (e.g., GDPR, HIPAA).

Benefits

1. Competitive compensation
2. Permanent position
3. Benefits package, including health insurance and mental health support
4. Financial support for ongoing training
5. There is a relaxed dress code at the Marionete offices
6. An abundance of career paths and opportunities in which to advance
7. 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).