Senior Data Engineer

Fruition Group Ireland; Dublin; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Fruition Group Ireland is seeking a Senior Data Engineer to own enterprise data platform operations and drive cloud-based data solutions. You will ensure reliability, performance and governance while advancing modern data architectures in Azure.

Responsibilities include developing data pipelines, enhancing reporting capabilities with Power BI and collaborating with stakeholders. A strong background in data security and governance is essential for success.

Formación

• 6+ years in data engineering or data platform operations.
• Strong Microsoft Azure data technologies expertise.
• Experience with ETL/ELT, data warehousing and reporting.
• Security controls, governance and data quality experience.

Responsabilidades

• Oversee the performance, availability and operational stability of enterprise data platforms.
• Develop and optimise data integration processes, including ETL/ELT pipelines and data warehousing.
• Implement proactive monitoring, alerting and incident resolution to minimise disruption.
• Support modernisation of data infrastructure and migration to cloud-based technologies.
• Collaborate with technical teams, external providers and stakeholders to meet requirements.

Conocimientos

Data engineering

Stakeholder management

Communication

Automation

Educación

Bachelor's degree in Computer Science or related field

Azure certifications

Herramientas

Microsoft Azure

Azure SQL

Power BI

Microsoft Fabric

Microsoft Purview

Descripción del empleo

Our client, a well-established organisation within the financial services sector, is seeking an experienced Senior Data Engineer to take ownership of enterprise data platform operations, enhance system reliability and support the ongoing development of modern cloud-based data solutions.

Job Responsibilities

• Oversee the ongoing performance, availability and operational stability of enterprise data platforms, ensuring consistent service delivery and adherence to agreed performance standards.


• Develop and optimise data integration processes, including ETL/ELT pipelines, data warehousing solutions and reporting infrastructure.


• Implement proactive monitoring, automated alerting and effective incident resolution processes to minimise disruption and improve platform resilience.


• Support the modernisation of existing data infrastructure, including the migration of legacy solutions to scalable, cloud-based technologies.


• Collaborate with technical teams, external service providers and business stakeholders to ensure data solutions meet operational and organisational requirements.


• Establish and maintain appropriate data management practices, including quality assurance, access controls, security and governance procedures.


• Identify opportunities to improve operational efficiency through automation, architectural enhancements and the reduction of technical debt.


• Contribute to the implementation and ongoing support of Microsoft-based data technologies, ensuring effective integration with existing enterprise systems.

Experience Required

• Minimum of 6+ years' experience in data engineering, data platform management or a similar technical position, with significant hands‑on experience supporting production environments.


• Strong technical expertise in Microsoft Azure data technologies, particularly Azure SQL, alongside experience with Power BI and enterprise reporting solutions.


• Proven ability to develop, maintain and troubleshoot complex data pipelines, including data ingestion, transformation and integration processes.


• Demonstrable experience managing data platform operations, including performance monitoring, incident management, root cause analysis and service improvement.
  
• Solid understanding of data architecture, relational databases, data modelling and modern data warehousing principles.


• Experience implementing data governance frameworks, maintaining data quality and ensuring appropriate security controls across enterprise environments.


• Practical knowledge of DevOps or DataOps methodologies, including automation, operational monitoring and continuous improvement.


• Strong communication and stakeholder management skills, with the ability to work independently and coordinate technical activities with external service providers.


• Experience working with Microsoft Fabric and Microsoft Purview, particularly within data platform transformation or modernisation programmes.


• Knowledge of Microsoft Entra ID, Azure Key Vault and cloud security best practices.


• Exposure to enterprise data migration projects, including the consolidation or replacement of legacy data infrastructure.


• Familiarity with master data management, data lineage and enterprise integration methodologies.


• Experience working within financial services or other regulated business environments.


• Knowledge of site reliability engineering principles and the management of third‑party technology support services.


• An understanding of AI or generative AI technologies and their potential applications within data engineering and operational automation.

Educational Requirements

• Third-level degree in Computer Science, Information Technology, Data Engineering or a related discipline.


• Relevant Microsoft Azure, data engineering or cloud technology certifications would be advantageous.