Head of Data Operations

Fruition Group Ireland; Dublin; On-site; EUR 100,000 - 130,000; Full time

Benefits offered by this job

Full benefits package

Job summary

Fruition Group Ireland is hiring a Senior Data Engineer to own enterprise data platform operations, improve reliability and support modern cloud-based data solutions. You will manage data pipelines, warehousing and governance across complex production environments.

The role requires 6+ years in data engineering, strong Microsoft Azure experience (Azure SQL), Power BI and a track record of improving data platforms within regulated sectors.

Qualifications

• 6+ years in data engineering or similar with production experience.
• Strong Azure data tech experience (Azure SQL) and Power BI.
• Experience with ETL/ELT, data integration and data warehousing.
• Experience managing data platform operations including performance monitoring and incident management.
• Knowledge of data governance, security controls, and data quality.
• Experience with DevOps/DataOps and automation.
• Experience with Microsoft Fabric and Purview.
• Experience in financial services or regulated environments.
• Understanding of Site Reliability Engineering and third‑party support.

Responsibilities

• Oversee performance, availability and stability of enterprise data platforms.
• Develop and optimise data integration processes and warehousing solutions.
• Implement proactive monitoring, alerting and incident resolution.
• Support modernisation and migration of legacy data infrastructure to cloud.
• Collaborate with technical teams, providers and stakeholders on data solutions.
• Maintain data management practices, quality, access controls and governance.
• Identify opportunities to improve efficiency through automation and reduced technical debt.
• Contribute to implementation and support of Microsoft data technologies and integration with enterprise systems.

Skills

Azure SQL

Power BI

Data pipelines

Data warehousing

Data governance

DevOps/DataOps

Security controls

Stakeholder mgmt

Microsoft Fabric

Purview

Entra ID

Automation

AI in data

Education

Bachelors in CS/IT/Data Eng

Tools

Microsoft Fabric

Microsoft Purview

Azure Key Vault

Azure DevOps

Job description

100k plus 30% bonus and full benefits Package

Job Description:

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.