- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 3 மணி நேரம் முன்
- Work mode
- Hybrid
- Education
- Bachelor's degree in Computer Science or related technical field
- Eligibility
- Open to all qualified individuals from diverse backgrounds and identities. Visa sponsorship considered where applicable based on Irish employment permit regulations.
- Resume
- Required to apply
Where you'll work
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Job description
About Realta and the Role
Realta is an innovative tech company revolutionizing financial risk and compliance management. We are seeking a Data Engineer to join our Fraud & Risk Management R&D Centre of Excellence situated in Limerick City Centre. We champion a diverse and inclusive workplace welcoming applicants from all backgrounds, and in certain cases, visa sponsorship is available under Irish employment permit rules.
Key Responsibilities
- Architect data structures, mappings, and workflows to achieve efficient data processing and analytical capabilities.
- Conduct research and hands-on evaluations including proof of concepts on data technologies to align with evolving business objectives.
- Develop, deploy, and maintain ETL/ELT pipelines extracting data from diverse sources.
- Implement seamless data integration solutions facilitating smooth data transfer across systems.
- Continuously monitor and enhance data pipeline stability and efficiency.
- Design data storage strategies incorporating caching, partitioning, and indexing to boost responsiveness.
- Create and maintain thorough documentation of data systems and processes.
Candidate Profile and Experience
- Minimum of three years of progressive experience in Data Engineering, data warehousing, or a related technical area.
- A bachelor’s degree in a relevant technical field like Computer Science or equivalent hands-on experience.
- Prior work in Financial Services, FinTech, or Risk Management sectors is a significant plus.
- Experienced in building scalable data pipelines and streaming architectures on cloud platforms such as AWS, GCP, or Azure.
- Skilled in Apache Spark using PySpark or Scala for distributed big data processing.
- Hands-on familiarity with modern data storage and analytics platforms including Snowflake and DataBricks.
- Experience with streaming technologies like Kafka or AWS Kinesis.
- Strong understanding of relational databases (PostgreSQL, MySQL) and knowledge of NoSQL systems (MongoDB, DynamoDB, Neo4J).
- Advanced programming proficiency in Python, Java, or Scala alongside expert SQL skills.
- Exposure to visualization platforms like Sigma, Tableau, Looker, or PowerBI is advantageous.
- Demonstrated problem-solving capabilities and making data-driven technical decisions.
- Experience enforcing security standards and complying with data privacy regulations.
- Additional experience supporting machine learning workflows and MLOps data preparation is beneficial.
Benefits and Work Environment
- Competitive and inclusive benefits designed to promote wellbeing and work-life harmony.
- Generous annual leave entitlement.
- Hybrid working model balancing office presence with remote days as scheduled by management.
- Family-friendly and wellbeing leave policies.
- Comprehensive healthcare coverage and support.
- Participation in a pension scheme.
- Continuous opportunities for learning and career advancement.
- A workplace committed to diversity, equity, and inclusion.
Additional Information
This position operates under a hybrid working arrangement from our Limerick office, combining remote work with designated office days determined by your manager.
Minimum education
Bachelor's Degree
Industry
Financial Services