Data Analyst/Engineer/Architect
Summary
A senior data engineer role in Dublin designing and maintaining ETL/ELT pipelines that move data from transactional RDBMS/NoSQL systems and APIs into an enterprise data lake, using tools like Apache NiFi, Airflow, Spark, and Kafka across AWS/Azure/GCP. The work supports analytics and regulatory reporting compliance (BCBS239, CCAR, GDPR) in a financial services context.
Job Description
Dublin 1, Ireland | Posted on 07/28/2025
Location: (Dublin) | Type: Full-Time | Experience Level: 7+Years
About the Role:We are seeking a skilled and experienced Senior Data Engineer to design and build robust, scalable datapipelines that power analytics and regulatory reporting from our transactionalplatforms to our enterprise data lake. You will play a pivotal role in shapingdata integration strategies, ensuring high data quality, and enabling criticalinsights for compliance and business intelligence across cloud and on-premiseenvironments.
Key Responsibilities:- Design,implement, and maintain ETL/ELT data pipelines to move structured andunstructured data from RDBMS, NoSQL (MongoDB, etc.), and APIs to theenterprise data lake
- Buildreusable components and frameworks for batch and streaming data ingestion
- Workclosely with business analysts and data scientists to understand datarequirements and translate them into data architecture solutions
- Monitordata pipeline performance and troubleshoot issues to ensure timely andaccurate data delivery
- Ensurecompliance with data governance and regulatory data standards (e.g., BCBS239, CCAR, GDPR)
- Documentdata flows, lineage, and technical metadata
- Bachelor'sor Master’s degree in Computer Science, Information Systems, or relatedfield
- Minimum7 years of experience in data engineering roles
- Strongexperience with data pipeline tools like Apache NiFi, Airflow, Spark,Kafka, or AWS Glue
- Proficiencyin SQL and scripting languages (e.g., Python, Scala)
- Deepunderstanding of RDBMS (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB,Cassandra), and cloud-native data platforms (AWS, Azure, or GCP)
- Experiencewith cloud data storage (e.g., S3, ADLS), and compute services (e.g., EMR,Databricks, BigQuery)
- Priorexperience supporting regulatory reporting data initiatives is a strongplus
- Familiaritywith data quality frameworks and tools
- Exposureto data cataloging and metadata management tools
- Financialservices domain experience, especially with transaction platforms
- Understandingof data security and encryption best practices
- Opportunityto work on enterprise-scale data engineering challenges
- Competitivecompensation and benefits
- Flexibleworking environment with modern tech stack
- Amission-driven team focused on data integrity and regulatory excellence