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 data pipelines that power analytics and regulatory reporting from our transactional platforms to our enterprise data lake.
You will play a pivotal role in shaping data integration strategies, ensuring high data quality, and enabling critical insights for compliance and business intelligence across cloud and on-premise environments.
Key Responsibilities:
Design, implement, and maintain ETL/ELT data pipelines to move structured and unstructured data from RDBMS, NoSQL (MongoDB, etc.), and APIs to the enterprise data lake
Build reusable components and frameworks for batch and streaming data ingestion
Work closely with business analysts and data scientists to understand data requirements and translate them into data architecture solutions
Monitor data pipeline performance and troubleshoot issues to ensure timely and accurate data delivery
Ensure compliance with data governance and regulatory data standards (e.g., BCBS 239, CCAR, GDPR)
Document data flows, lineage, and technical metadata
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, or related field
Minimum 7 years of experience in data engineering roles
Strong experience with data pipeline tools like Apache NiFi, Airflow, Spark, Kafka, or AWS Glue
Proficiency in SQL and scripting languages (e.g., Python, Scala)
Deep understanding of RDBMS (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra), and cloud-native data platforms (AWS, Azure, or GCP)
Experience with cloud data storage (e.g., S3, ADLS), and compute services (e.g., EMR, Databricks, BigQuery)
Prior experience supporting regulatory reporting data initiatives is a strong plus
Preferred Experience:
Familiarity with data quality frameworks and tools
Exposure to data cataloging and metadata management tools
Financial services domain experience, especially with transaction platforms
Understanding of data security and encryption best practices
What We Offer:
Opportunity to work on enterprise-scale data engineering challenges
Competitive compensation and benefits
Flexible working environment with modern tech stack
A mission-driven team focused on data integrity and regulatory excellence
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