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Data Engineer (Analytics)

Date: Nov 11, 2022

Location: IE

Company: Glanbia

Glanbia Business Services

Data Engineer

 

Overview

An opportunity has arisen for a Data Engineer (Analyst Grade) to join Glanbia’s Centre of Excellence for Business Intelligence and Data Analytics. This a permanent role and will report to the Data Analytics Lead, CoE for BI and Data Analytics. The ideal candidate will be a self-directed data expert who enjoys optimizing data systems and is excited by the prospect of working with our best-in-class analytics technology stack. They will help to support Glanbia’s data analytics team, ensuring that our delivery architecture is consistent through our ongoing data initiatives.

 

 

Location

The base location of the role can be Citywest, Dublin 24 or Kilkenny, with a blended working arrangement available through our Smart working model which allows you a greater choice in how you work and live, giving you a better work-life balance.

 

Key Responsibilities:

  • Assisting in the maintenance of systems, processes, code and pipelines for the ETL of data from a range of sources (internal and external) and types (APIs, database connectors, flat files etc.) both into and out of Glanbia’s Azure/Databricks environment.
  • Assisting in the assembly and maintenance of large and complex data sets that meet both functional and technical business requirements.
  • Working with 3rd party API’s to integrate external data with Glanbia’s data.
  • Assisting in the creation and/or maintenance of analytics tools that utilize our environment to provide actionable insight into key business performance indicators and business solutions.
  • Engaging with data and analytics experts and key stakeholders across Glanbia to strive for greater functionality in our data systems.

 

Requirements

 

Education:

  • Primary degree in Computer Science, Information Systems, or another numerate discipline.

 

Experience:

  • 1-2 years of prior experience working in a data/database related area.
  • Logical thinker with a pro-active attitude, problem solving skills and demonstrable experience working with structured and unstructured datasets.
  • Good knowledge of database structures, theories, principles, and practices generally.
  • Demonstrable experience manipulating, processing and extracting value from large datasets.
  • Fluent English speaker.

 

Skills and Competencies:

  • Good knowledge of SQL generally, with an understanding of object-oriented languages and development methodologies (e.g. Java, Python, Scala etc.)
  • Ability to write high-performance, reliable and maintainable code.
  • Knowledge of version control systems (e.g. Git).
  • Some previous experience with an Azure Environment or Databricks would be an advantage.
  • Familiarity with connecting to front-end data visualisation tools (e.g. Tableau) and general familiarity with data science tools (e.g. RStudio Server) would be an advantage.

 

 

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a wide variety of candidates, and we will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, or disability status. 

 

At Glanbia our culture will celebrate individuality, knowing that together we are more.