Data Engineer

ViVA Tech Talent
Belfast, UK
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Airflow Build Automation BigQuery Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Workflow Management Systems Data Storage Technologies Cloud Platform System Snowflake
+6 more
Git Script Language Tools for Reporting Data Pipelines Amazon Redshift Programming Languages

Job description

  • Build and maintain data pipelines (ETL/ELT)
  • Build automation and reporting tools using Google Sheets and Google Apps Script
  • Work with cloud platforms for data storage and processing
  • Support the design of data models and data warehouses
  • Collaborate with analysts and stakeholders to deliver reliable datasets
  • Monitor pipeline performance and troubleshoot data quality issues
  • Document technical processes and workflows

Requirements

Our client is looking for a Data Engineer with 1-2 years’ postgraduate experience to join their growing data team. This is a great opportunity for someone early in their career who has hands-on experience building data pipelines and wants to develop further in a supportive, hands-on environment., * 1-2 years’ experience in a data engineering or related role

  • Experience with Google Sheets and Google Apps Script
  • Working knowledge of at least one cloud platform
  • Experience with Python or similar programming language
  • Understanding of ETL/ELT concepts
  • Good problem-solving and communication skills
  • Experience with data warehousing tools (e.g. Snowflake, BigQuery, Redshift)
  • Familiarity with orchestration tools (e.g. Airflow, dbt)
  • Experience with Git/CI-CD

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

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Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

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