Role : Sr. Data Engineer (2 positions)
Exp : 7 to 15 Overall
Hybrid – 3 days to Dublin office
2 rounds of Interview with client (1 would be b Teams & final will be face to face)
Senior Data Engineer
Overview
Are you passionate about building scalable data solutions and ensuring data integrity in high-impact financial technology? Do you thrive in solving complex data challenges while maintaining rigorous quality standards?
Join the team behind Crypto Secure , a cutting-edge risk assessment platform helping banks gain visibility into crypto spend, transaction volumes, and AML risk exposure. Working with modern technologies like Snowflake, Hadoop, Spark, NiFi , and cloud-native architectures, you’ll play a dual role : designing robust data pipelines and implementing comprehensive testing strategies to guarantee reliability and trust.
Role Responsibilities
Data Engineering & Platform Development
- Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, NiFi , and related big data technologies.
- Implement data architectures and optimize workflows for massive financial datasets.
- Write high-quality, maintainable code in Python and SQL following best practices.
- Integrate data governance principles, metadata management, and lineage tracking into solutions.
Data Quality Assurance & Testing
Develop automated testing frameworks and validation scripts for ETL processes and data transformations.Implement data quality checks, reconciliation processes, and regression testing suites to ensure accuracy, completeness, and timeliness.Perform unit, integration, and end-to-end testing for data pipelines and schema changes.Use tools like dbt tests, custom Python utilities for automated validation.Collaboration & Agile Delivery
Work closely with Data Engineers, Product, and Data Science teams to embed testing into the development lifecycle.Participate in agile ceremonies (sprint planning, backlog refinement, retrospectives) with a focus on quality and delivery.Support production incident response with rapid data validation and root cause analysis.Continuous Improvement
Stay current with emerging data engineering and testing technologies.Contribute to team knowledge sharing, mentoring junior engineers, and improving technical standards.Shape best practices for data reliability, testing automation, and CI / CD integration.Skills & Qualifications
Core Technical Expertise
Advanced SQL and experience with relational and NoSQL databases.Strong experience with Snowflake, Hadoop, Spark, Databricks, Kafka , and cloud data platforms.Proficiency in Python for both data engineering and test automation.Familiarity with orchestration tools and workflow management systems.Testing & Quality
Proven experience in data testing methodologies , ETL validation, and automated testing frameworks.Knowledge of data profiling, anomaly detection, and statistical validation techniques .Experience integrating testing into CI / CD pipelines.Professional Attributes
Strong problem-solving and analytical skills with attention to detail.Excellent communication skills for cross-functional collaboration.Ability to work independently and manage multiple priorities in fast-paced environments.Why You’ll Love This Role
Work on cutting-edge fintech solutions at the intersection of cryptocurrency, risk management, and compliance.Combine engineering and quality expertise to deliver trusted, high-performance data platforms.Collaborate with talented engineers and data scientists in a culture that values technical excellence and continuous learning .Opportunities for career growth in both data engineering and data quality leadership .