Data Analyst/Engineer/Architect

Test Triangle Ltd; Dublin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Competitive compensation

Modern tech stack

Job summary

Zohorecruit in Dublin is seeking a Senior Data Engineer to design and build robust data pipelines powering analytics and regulatory reporting from transactional platforms to the enterprise data lake.

You will shape data integration strategies, ensure high data quality, and enable insights for compliance and BI across cloud and on-prem environments.

Qualifications

• 7+ years of data engineering experience.
• Numerous data integration and data lake projects.
• Regulatory reporting experience is a strong plus.

Responsibilities

• Design, implement, and maintain ETL/ELT pipelines to move data to the enterprise data lake.
• Build reusable components for batch and streaming ingestion.
• Collaborate with analysts and data scientists to translate requirements into architecture.
• Monitor pipeline performance and troubleshoot issues for timely data delivery.
• Ensure compliance with GDPR, BCBS239, CCAR and other standards.
• Document data flows, lineage, and metadata.

Skills

ETL/ELT pipelines

SQL

Python/Scala

Spark

Airflow

NoSQL

Data governance

Regulatory reporting

Education

Bachelor's or Master's in CS/IS

Tools

Apache NiFi

Airflow

Spark

Kafka

AWS Glue

Databricks

BigQuery

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

Required Qualifications:

• 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

Preferred Experience:

• 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

What We Offer:

• 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