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Role
Location: Dublin / Hybrid
Employment Type: Permanent
Salary: Up to €65,000
About the Role:
We are seeking a highly skilled Data Engineer (4 - 5 years commercial experience) to lead the design, development, and enhancement of an Analytic Foundation – a suite of scalable analytical capabilities built upon a modern data platform. This role involves working closely with cross-functional teams to deliver data-driven solutions that enable meaningful business insights and operational efficiencies.
This is an excellent opportunity for an experienced data professional with a strong technical background in Big Data, cloud technologies, and large-scale data processing to contribute to the development of innovative analytics solutions.
Key Responsibilities
* Design, develop, and implement robust data pipelines and analytical capabilities using modern Big Data tools and frameworks.
* Build and maintain high-performance analytics and data models to support scalable products and applications.
* Collaborate with product, engineering, and data science teams to translate business requirements into effective technical solutions.
* Write, review, and optimise high-quality, well-tested code to ensure system reliability and scalability.
* Mentor junior engineers and contribute to continuous improvement across development practices and processes.
* Take ownership of complex feature implementations and ensure best practices are applied across all project phases.
Requirements
* Strong proficiency in Python or Scala, Spark, and Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Sqoop).
* Advanced skills in SQL and experience building Big Data products and platforms.
* Proven experience with cloud technologies such as Databricks, AWS, or Azure.
* Demonstrated success in building and deploying production-level data applications and ETL/ELT workflows.
* Experience with machine learning systems, including data ingestion, feature engineering, and model evaluation.
* Strong analytical and problem-solving abilities with a customer-focused approach.
* Excellent communication skills and the ability to collaborate effectively across technical and business teams.
* Degree in Computer Science, Engineering, or a related technical field.
Desirable Skills and Experience
* Full-stack engineering experience within an agile production environment.
* Experience leading the design and implementation of large-scale, complex data solutions.
* Knowledge of predictive analytics, machine learning, and advanced statistical techniques.
* A strong interest in process optimisation and technical innovation.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Financial Services, Banking, and IT Services and IT Consulting
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