Senior Data Engineer (Kafka Expert)

Marionete
Liverpool
4 days ago
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Marionete

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


(THE CANDIDATES MUST BE PORTUGAL, SPAIN or UK BASED)

For more information visit us:www.marionete.co.uk

SKILLS

Must-Have Requirements


  • Minimum of5 yearsin Data Engineering.
  • Speaksfluent English(written and verbal) for effective collaboration with stakeholders.
  • Proven ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Capable of providingtechnical guidanceand mentoring to junior team members.
  • Experience working incross-functional teams, including data scientists, analysts, and DevOps engineers.
  • Ability to influence and establish best practices in data engineering processes.
  • Self-motivated with a growth mindset and an eagerness to stay updated on emerging technologies.


Apache Kafka Expertise:

Proven experience designing, developing, and managingKafka-based data pipelines.

Good understanding ofKafka Streams, Connect, or the Confluent Kafka platform.


Data Engineering Skills:

Hands-on experience withETL toolsanddata ingestion processes.

  1. StrongSQL skills, with the ability to write optimized and scalable queries.
  2. Or, Proficiency in at least one programming language (Python, Java, Scala, or .NET).


CI/CD:

Experience usingCI/CD pipelinesfor development and deployment of data pipelines.

Proficiency in Git-based workflows and tools like Jenkins, Azure DevOps, or GitLab CI/CD.



Nice-to-Have Skills


Azure Ecosystem:

  • Knowledge of Azure services likeAzure Data Factory,Azure Data Lake, orAzure Synapse.
  • Understanding of Azure’ssecurityandidentity managementpractices (e.g., IAM, RBAC).


Snowflake Data Warehouse Experience:

  • Designing and optimizingSnowflake schemasfor efficient querying.
  • ImplementingETL/ELT pipelinesto load and transform data in Snowflake.


Big Data Processing Frameworks:

  • Familiarity withApache Spark, Hadoop, or other distributed data processing frameworks.


Data Governance and Compliance:

  • Understanding ofdata governance principles, security policies, and compliance standards (e.g., GDPR, HIPAA).


Benefits

  • Competitive compensation
  • Permanent position
  • 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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