Data Engineer - All Levels

Hays plc
Belfast, UK
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Data Transformation Data Warehousing Python (Programming Language) Machine Learning SQL Databases Working Model 2D Cloud Platform System
+2 more
Generative AI Data Pipelines

Job description

Data Engineer & AI Engineer - Belfast (Hybrid)Multiple Roles | Competitive Salary + Strong Career Growth The Opportunity

A leading organisation is seeking multiple Data Engineers to join a growing technology team delivering modern data platforms and scalable solutions across a diverse client base.This role offers the opportunity to work on real-world data challenges, building pipelines, transforming data, and enabling better business decision-making within a collaborative and fast-paced environment. Responsibilities

  • Design and build robust data pipelines and data solutions
  • Work with structured and unstructured data from multiple sources
  • Develop data models and datasets to support analytics and reporting
  • Contribute to the delivery of scalable, cloud-based data platforms
  • Collaborate with analysts, engineers, and business stakeholders
  • Ensure data quality, accuracy, and performance across solutions

Requirements

  • Experience in a Data Engineer, Data Developer, or similar role
  • Strong technical skills in SQL and/or Python
  • Experience building or working with data pipelines
  • Understanding of data modelling and data transformation
  • Experience working in Agile or collaborative team environments
  • Strong analytical and problem-solving skills

Desirable Experience

  • Exposure to AI, machine learning, or advanced analytics
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of data warehousing or big data technologies
  • Interest in emerging technologies such as Generative AI

Benefits & conditions

  • Opportunity to work on large-scale, modern data projects
  • Clear career progression and development opportunities
  • Access to training, certifications, and new technologies
  • Supportive and collaborative working environment
  • Hybrid working model based in Belfast

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