Data Engineer

• Lead the design and implementation of enterprise data integration solutions.
• Develop scalable Microsoft Fabric Data Factory and Azure Data Factory pipelines.
• Design and support enterprise integration frameworks and standards.
• Implement robust ETL/ELT solutions across cloud and on-premises environments.
• Build data ingestion, transformation, orchestration, and monitoring capabilities.
• Design and implement:
• - Data quality frameworks
• - Validation controls
• - Reconciliation processes
• - Logging and alerting mechanisms
• Support batch and near real-time data integration patterns.
• Optimise integration performance, scalability, and reliability.
• Document architecture, interfaces, pipelines, and data flows.
• Provide technical mentorship and knowledge transfer to internal teams.

Senior Database, Data Warehouse Consultant

• Play a key role in ensuring that data and operational excellence prevails across all aspects of the business
• Work on improving management insights (MI) and contributing to the development of the company’s data architecture
• Build, automate and monitor ETL/ELT pipelines using AWS services (EventBridge, Step Functions, Glue, Lambda, S3)
• Build ingestion pipelines that pull data from external APIs into the data lake, enriching and linking it with banking data
• Perform data discovery and reverse-engineer reports from legacy systems then design the data structures needed to replace them in the modern platform
• Develop interactive Amazon QuickSight dashboards backed by complex SQL models
• Automate customer and funder statement generation via Amazon Athena
• Build and maintain Management Information (MI) dashboards
• Partner with product, engineering, credit, and finance teams to identify process improvements, recommend system changes, and shape data governance policy
• Own and prioritise the reporting-infrastructure backlog alongside the Product Owner

Senior Data Engineer

• Support the delivery of a large-scale data transformation programme
• Build, optimise and maintain data pipelines within a modern Databricks environment
• Develop, orchestrate, and maintain ETL pipelines and related objects within Databricks utilising medallion architecture structures
• Create high-quality, performant, and secure Data Products for analytics use cases
• Collaborate with Data Analysts, Architects and business stakeholders
• Act as an escalation point in supporting data integration and transformation activities
• Drive improvements in data quality, performance and reliability
• Contribute to engineering standards and best practices
• Support the adoption of AI-assisted development approaches where appropriate
• Actively participate in design and architecture reviews, contributing pragmatically to ensure robust data solutions are proposed

• Act as the leading technical authority and Subject Matter Expert for Databricks Data Engineering, representing the Engineering team to stakeholders.
• Define and own the Data Architecture for the creation of speciality insurance analytics data products.
• Design Conceptual, Logical, and Physical Data Models for the business area, aligned to broader/standardised data models.
• Establish engineering standards, patterns, and best practices for AI-assisted pipeline development, orchestration, processing, storage, and observability.
• Design, oversee, and contribute to the development of large-scale, fault-tolerant data pipelines and orchestration jobs across medallion layers in Databricks.
• Ensure pipelines are designed to meet SLAs for reliability, latency, cost, and data quality.
• Implement processes for the management of metadata, lineage, and observability in the delivery of high-quality and dependable Data Products.
• Partner with security teams on data privacy and compliance, implementing data governance with particular focus on managing sensitive, business critical data.
• Mentor senior and mid-level engineers and drive Engineering Excellence across AI Assisted Development, Code quality, Testing, and Documentation.
• Lead design reviews and architecture discussions, encouraging collaboration and innovation to promote a culture of continuous improvement.

Principal Data Engineer

• Design, build, and operate the data foundations that power a cloud-native core banking platform
• Partner closely with Core Banking Product Engineers, Platform Engineers, Security/Risk, and Data Consumers
• Ensure data is accurate, auditable, reconciled, and observable
• Design and implement data ingestion for core banking domains
• Build data structures that support double-entry ledger concepts
• Implement integration patterns that support near-real-time needs
• Participate in incident response and root-cause analysis
• Produce clear technical documentation and contribute reusable components

SQL Developer – Core Banking Data Engineer

• Deliver data migration sessions to Spanish-speaking customers across EMEA in their preferred language, while also supporting our English speaking regions.
• Work closely with Sales and Customer Onboarding Specialists to ensure a smooth and enjoyable transition into adopting our product as quickly and effectively as possible;
• Perform data transformations and imports from various sources (often CSV and SQL) into the Clio products and handle escalated data processing cases;
• Provide superb customer service throughout the data migration process;
• Manage multiple client cases at a time with strict observance of associated tasks and deadlines (as defined by the department);
• Be confident, articulate, and sensitive to the needs of customers and internal partners;
• Contribute regularly to our customer-facing knowledge articles;
• Partner with other members of the Customer Enablement and Solutions Engineering teams to develop processes around the design, development, and testing of data transformation, extraction and training activities;
• Gain a deep understanding of and staying up to date with the Clio product and common workflows;
• Always looking for and being curious about process and technology improvements to enhance the customer's journey and automate the function of the role;

Data Migrations Specialist, English/Spanish Speaking

• Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
• Lead system-wide architectural decisions, focusing on data flow, performance, and resilience.
• Actively contribute to the codebase with high quality code.
• Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability.
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.

Data Engineer jobs in Ireland

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Senior Database, Data Warehouse Consultant

Senior Data Engineer

Senior Data Engineer

Principal Data Engineer

SQL Developer – Core Banking Data Engineer

Data Migrations Specialist, English/Spanish Speaking

Principal Data Engineer