LocationLetterkenny - Hybrid 2-3 days per week onsiteWhat you can ExpectWe are seeking a hands‑on Senior Data & Analytics Engineer to design, build, and operate scalable Microsoft Fabric–based analytics platforms that power enterprise marketing analytics, customer insights, and business intelligence. You will be deeply involved in data ingestion, transformation, lakehouse modelling, semantic layer design, Power BI optimization, and production‑grade pipeline orchestration, partnering closely with marketing, growth, product, and business stakeholders to translate analytical requirements into governed, high‑performance data products.What you will DoData Platform & Fabric EngineeringDesign and implement end‑to‑end data pipelines using Microsoft Fabric (Data Factory, Data Engineering, Lakehouse).Build and maintain Fabric Lakehouse architectures (Bronze/Silver/Gold) optimized for marketing and BI use cases.Implement incremental loads, CDC patterns, and data freshness strategies for large‑scale analytical datasets.Optimize storage formats (Delta/Parquet), partitioning, and performance tuning in Fabric.Data Engineering & TransformationDevelop robust data transformation logic using PySpark / Spark SQL, SQL‑based transformations.Perform data cleansing, standardization, enrichment, and deduplication across multiple marketing and customer data sources.Implement data quality checks, validation rules, and anomaly detection within pipelines.Maintain reusable transformation frameworks and shared data assets.Marketing & Business Data IntegrationIngest and model data from marketing and customer platforms such as digital analytics, campaign platforms, internal business systems.Create conformed dimensions and fact tables for marketing performance, attribution, funnel analysis, and customer insights.Enable cross‑channel reporting and identity‑aware analytics.Power BI & Semantic ModelingDesign and optimize Power BI semantic models (datasets) for enterprise reporting.Build star schemas, calculation groups, and optimized DAX measures.Ensure report performance, scalability, and refresh reliability.Support self‑service BI while enforcing enterprise data governance standards.Collaborate with analysts and business users on dashboard requirements and usability.Governance, Security & OperationsImplement workspace strategies, environment separation (Dev/Test/Prod), and deployment pipelines in Fabric.Enforce data access controls, row‑level security (RLS), and sensitivity labels.Establish monitoring, logging, and alerting for pipeline health and data reliability.Document data models, pipelines, and operational runbooks.Participate in on‑call or production support rotations as needed.Collaboration & LeadershipAct as a technical mentor for junior engineers and analysts.Influence data architecture decisions and analytics best practices.Work closely with product managers, marketing leaders, and BI teams to prioritize and deliver high‑impact data products.Contribute to standards for data modeling, naming conventions, and pipeline design.What you Will BringCore Technical Skills8+ years of experience in data engineering / analytics engineering roles.Strong hands‑on expertise with Microsoft Fabric: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces and deployment pipelines.Advanced SQL skills and experience with large analytical datasets.Strong experience with Power BI: Semantic models, DAX, performance optimization.Proficiency in PySpark or Spark SQL.Data Engineering FundamentalsDeep understanding of data modeling (star/snowflake schemas), ETL / ELT design patterns, incremental processing and CDC, data quality and validation frameworks.Experience operating data platforms in production environments.Domain & Soft SkillsExperience supporting marketing analytics, customer analytics, or growth analytics.Strong stakeholder communication skills—able to translate business questions into data solutions.Comfortable working in agile, fast‑moving environments with evolving requirements.What would Set You ApartExperience with enterprise marketing stacks (CDPs, CRM, campaign tools).Familiarity with data governance frameworks and privacy‑aware data design.Experience migrating from legacy BI platforms to Microsoft Fabric.Exposure to CI/CD concepts for data platforms.Azure ecosystem experience beyond Fabric (Synapse, ADLS, etc.).What Success Looks LikeReliable, well‑governed Fabric lakehouses powering business‑critical dashboards.High‑performing Power BI reports used daily by marketing and leadership teams.Reduced data latency and improved trust in analytics.Clear documentation and reusable data assets.Strong collaboration between engineering, analytics, and business users.What We Offer YouHealth Insurance covering eligible employees’ medical and hospital expenses.Annual Leave of 23 days at full pay.Pension Scheme with up to 8% salary contribution matched by PGIM Ireland.Annual Bonus Programme and Shop LK Vouchers / CleverCards paid tax free.Life Assurance fully paid by PGIM Ireland.Education Assistance Programme reimbursing further education.PGIM Ireland is proud to be an equal opportunity employer and is committed to equal employment opportunity regardless of applicants’ gender, civil status, family status, sexual orientation, religion, age, disability, race or membership of the traveler community.
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