Location: Letterkenny - Hybrid 2-3 day p/week onsite
What you can Expect
We 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.
This role is not theoretical—you will be deeply involved in data ingestion, transformation, lakehouse modelling, semantic layer design, Power BI optimization, and production-grade pipeline orchestration.
You will partner closely with marketing, growth, product, and business stakeholders to translate analytical requirements into governed, high-performance data products.
What you will Do:
Data Platform & Fabric Engineering
Design 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 & Transformation
Develop 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 Integration
Ingest and model data from marketing and customer platforms such as: Digital analytics (web, app, events), Campaign platforms (email, paid media, CRM, CDPs), Internal business systems (sales, finance, operations)
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 Modeling
Design 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 & Operations
Implement 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 & Leadership
Act 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 Bring:
Core Technical Skills
8+ 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 Fundamentals
Deep 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 Skills
Experience 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 Apart:
Experience 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 Like:
Reliable, 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 You:
Health Insurance: PGIM Ireland partner with Laya and BUPA to provide health insurance schemes that cover eligible employees day to day medical and hospital expenses.
Annual Leave of 23 days at full pay.
Pension Scheme: Members of the scheme can contribute up to 8% of salary per annum and PGIM Ireland matches contributions up to 8% of salary. Members can also make voluntary contributions to the scheme.
Annual Bonus Programme & Shop LK Vouchers / CleverCards (subject to eligibility): Along with an annual bonus employees are rewarded with Shop LK Vouchers/ CleverCards which are paid tax free.
Life Assurance: fully paid by PGIM Ireland, employees are covered from their start date and beneficiaries are provided with a lump sum of four times an employee’s salary.
Education Assistance: PGIM Ireland have an Education Assistance Programme that reimburses eligible employees for furthering their 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. PGIM Ireland's aim is to hire the best people for the open roles and all appointments will be made on merit.
Any offer of employment made by PGIM Ireland will be contingent on receiving satisfactory references. Applicants should be aware that background checks will be carried out on all candidates offered a position within PGIM Ireland.