Job Description

Company Headquarters: Kildare, Ireland.

We are seeking a “Data Engineer” for our client, a top service provider renowned for trading and refurbishing used technology, such as cellphones and laptops. This company is dedicated to assisting manufacturers with sustainable practices and plays a significant role in reducing new tech expenses on a global scale.

Qualifications:

Experience on cloud platforms (AWS preferred), including cloud-based data storage solutions

Experience in designing and deploying data pipelines from ingestion to consumption

Strong SQL and Python skills, including API-based data extraction

Hands-on experience with data storage solutions (Redshift, Hive, Parquet, Hadoop ecosystem)

Experience with data modeling, data-mart development, and data cleansing

Experience with data storage technologies such as data lakes, data warehouses, and traditional SQL/NoSQL databases

Knowledge of real-time data processing (Kafka Streams, Apache Spark)

Demonstrable knowledge in writing scripts, extracting data using APIs, and writing SQL queries

Ability to work with large datasets, build KPIs, and analyze trends

Familiarity with Agile methodologies, Scrum/Kanban, and tools like Jira & Confluence

Experience in using GenAI to augment analytics

Demonstrable contribution to open-source projects

Experience of working in an organisation with a DevOps culture

Key Responsibilities:

Build and maintain scalable data pipelines and ETL processes on AWS

Improve data quality and optimize reporting layers

Design, build, and maintain large-scale data solutions using AWS analytics services (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB)

Automate, monitor, and ensure reliability of data platforms

Work with stakeholders to analyze reporting needs and ensure data availability

Collaborate with backend teams to align data policies and best practices

Preferred Skills:

AWS certifications

Experience with data visualization tools (Tableau, Power BI)

Knowledge of GenAI for analytics enhancement