Data Engineer

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

Job Title: Data Engineer

Job Location: Dublin Ireland/ Hybrid

Job Type: Permanent

Job Description:

• As a Data Engineer within the Advanced Analytics team, you will:
• Play a large role in the implementation of complex features
• Push the boundaries of analytics and powerful, scalable applications
• Build and maintain analytics and data models to enable performant and scalable products
• Ensure a high-quality code base by writing and reviewing performant, well-tested code
• Mentor junior engineers and teammates
• Drive innovative improvements to team development processes
• Partner with Product Managers and Customer Experience Designers to develop a deep
• understanding of users and use cases and apply that knowledge to scoping and building new
• modules and features
• Collaborate across teams with exceptional peers who are passionate about what they do

Ideal Candidate Qualifications:

• 4+ years of full stack engineering experience in an agile production environment
• Experience leading the design and implementation of large, complex features in full-stack
• applications
• Ability to easily move between business, data management, and technical teams; ability to
• quickly intuit the business use case and identify technical solutions to enable it
• Experience leveraging open source tools, predictive analytics, machine learning, Advanced
• Statistics, and other data techniques to perform analyses
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala,
• Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data
• processing workflows/pipelines and/or implementing machine learning systems at scale in Java,
• Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering,
• modeling, tuning, evaluating, monitoring, and presenting
• Experience in cloud technologies like Data bricks/AWS/Azure
• Strong technologist with proven track record of learning new technologies and frameworks
• Customer-centric development approach
• Passion for analytical / quantitative problem solving
• Experience identifying and implementing technical improvements to development processes
• Collaboration skills with experience working with people across roles and geographies
• Motivation, creativity, self-direction, and desire to thrive on small project teams
• Superior academic record with a degree in Computer Science or related technical field
• Strong written and verbal English communication skills