Senior Data Engineer – Hybrid Dublin, Scalable Analytics

FalconSmartIT; Greater London; Hybrid; GBP 72,000 - 106,000; Full time

Job summary

FalconSmartIT in Dublin is seeking a Data Engineer to join the Advanced Analytics team. You will implement complex features, push analytics capabilities, build scalable data models, and maintain high-quality code.

You will mentor juniors and collaborate with Product Managers and Designers to understand users and build new modules. Ideal candidates have 4+ years in full-stack engineering in agile environments, with Python/Scala, Spark, Hadoop, SQL, and cloud experience (Databricks/AWS/Azure).

Qualifications

• 4+ years of full stack engineering in an agile production environment.
• Experience leading the design and implementation of large, complex features in full-stack applications.
• Ability to move between business, data management, and technical teams; quickly identify business use cases and solutions.
• Experience with open source tools, predictive analytics, machine learning, advanced statistics, and data techniques for analyses.
• Strong proficiency in Python or Scala, Spark, Hadoop ecosystem tools, and SQL for Big Data products.

Responsibilities

• Play a large role in implementing complex features.
• Push the boundaries of analytics and scalable applications.
• Build and maintain analytics and data models for performant products.
• Ensure a high-quality code base by writing and reviewing well-tested code.
• Mentor junior engineers and teammates.
• Drive improvements to development processes.

Skills

Python

Scala

Spark

SQL

Hive

Impala

Airflow

NiFi

Scoop

Databricks

AWS

Azure

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Job description

FalconSmartIT in Dublin is seeking a Data Engineer to join the Advanced Analytics team. You will implement complex features, push analytics capabilities, build scalable data models, and maintain high-quality code.

You will mentor juniors and collaborate with Product Managers and Designers to understand users and build new modules. Ideal candidates have 4+ years in full-stack engineering in agile environments, with Python/Scala, Spark, Hadoop, SQL, and cloud experience (Databricks/AWS/Azure).