We're hiring a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The role requires 2-5 years of experience in data engineering or a related field. Strong proficiency in SQL and at least one programming language is necessary.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
📋 We’re Hiring: Data Engineer
đź“Ť Location: Ireland (Remote)
đź•’ Employment Type: Full-Time
đź’Ľ Level: Mid-Level
📌 About the RoleWe’re looking for a skilled and detail-oriented Data Engineer to join our team. In this fully remote role, you will design, build, and maintain scalable data pipelines and infrastructure that power analytics, reporting, and data-driven decision-making across the organization.
🎯 Key Responsibilities- Design, build, and maintain scalable ETL/ELT data pipelines
- Develop and optimize data models for analytics and reporting
- Integrate data from multiple sources into centralized data platforms
- Ensure data quality, reliability, and consistency across systems
- Work closely with Data Analysts, Data Scientists, and Engineering teams
- Optimize data warehouse performance and query efficiency
- Implement data governance, monitoring, and documentation practices
- Support real-time and batch data processing systems
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- 2–5 years of experience in data engineering or related field
- Strong proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Experience with data pipeline tools (e.g., Airflow, dbt, or similar)
- Familiarity with data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Understanding of ETL/ELT processes and data architecture principles
- Experience with version control systems (e.g., Git)
- Strong problem-solving and debugging skills
- Ability to work independently in a remote environment
- Must have valid work authorization in Ireland (or eligible to work remotely for an Ireland-based company)
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- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of distributed systems and big data tools (e.g., Spark, Kafka)
- Familiarity with containerization (Docker, Kubernetes)
- Experience with data governance and security best practices
- Exposure to real-time data processing systems
- Experience in SaaS, fintech, or large-scale data environments
- 100% remote work flexibility
- Opportunity to build scalable and modern data infrastructure
- Collaborative engineering and data-driven culture
- Career growth into Senior Data Engineer or Data Architect roles
- Competitive salary and comprehensive benefits package
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