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Data Engineer

Job title Data Engineer
Contract type: Permanent
Location 2266
Industry:
Workplace type: Hybrid
Reference: 6168
Contact name: Curtis McGough
City: Dublin
Contact email: curtis.mcgough@signify-tech.com
Published: July 24, 2023 10:33

Job Description

Data Architect/Engineer

Ireland, Remote/Hybrid

Up to €90k base + bonuses

 

Seeking passionate Data Analytics Engineers to drive cutting-edge Modern Data Stack [Snowflake, DBT, Monte Carlo, Segment, Looker, etc]. You'll thrive on data modelling, perfect numbers, and insightful analysis. Be the driving force in delivering crucial data to decision-makers and analysts across diverse businesses. As a vital team member, you'll support BI analysts and stakeholders, design end-to-end analytics solutions, and streamline reporting functions with automation.

 

What you'll do:

  • Collaborate with BI analysts and stakeholders for scalable solutions.
  • Design and build end-to-end analytics solutions with speed and precision.
  • Handle large datasets adeptly in relational and "big" data stores.
  • Streamline and automate ad-hoc and standardized reporting functions.
  • Build efficient data models and transformations using DBT.
  • Provide operational support for data and analytics engineering infrastructure.

 

What we're looking for:

  • Proven experience as a Data Engineer, Analytics Engineer, or BI Engineer.
  • Expertise in data modelling, ETL/ELT pipelines, and end-to-end analytics solutions.
  • Hands-on DBT experience, including SQL optimization and windowing functions.
  • Strong grasp of data access patterns and performance for relational and dimensional models.
  • Proficiency in Python, Java/Scala, or other JVM languages.
  • AWS experience with IAM, DynamoDB, Lambda, etc.
  • BS/MS degree in Computer Science, Mathematics, Physics, or related field.

 

Bonus points for:

  • Domain experience in Marketing, CRM, Customer Analytics.
  • Looker and LookML expertise for building dashboards and modeling data.
  • Familiarity with CDP / Reverse ETL (Segment, Hightouch, etc).
  • Experience with Cloud Data Warehousing technology like Snowflake.