Data Scientist

Belcan
Larne, County Antrim, United Kingdom
Yesterday
Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
29 May 2026 (Yesterday)

Data Scientist - Database Analyst/Programmer II

Larne, Northern Ireland (On-Site)

Location: Larne (On-site)

Contract: 12 months (Inside IR35)

Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm)

We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland.

Role Overview

This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business.

Key Responsibilities

Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake

Cleanse, transform, and validate large datasets to ensure data accuracy and integrity

Manage scheduled data loads and perform ongoing data quality checks

Support and contribute to data governance, standards, and documentation

Deliver high-quality, curated datasets for reporting and business analysis

Support development of KPIs, dashboards, and analytical models

Troubleshoot and resolve data, integration, and reporting issues

Build and optimise solutions using Power BI, Power Apps, and Power Automate

Integrate and manage CRM data (including Salesforce) to support business processes

Identify and implement automation and process improvement opportunities across workflows.

Required Skills & Experience

3-5+ years' experience in data science, analytics, data engineering, or automation roles

Strong proficiency in Python

Hands-on experience with SQL and Snowflake

Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate)

Experience working with CRM data (Salesforce preferred)

Solid understanding of data modelling, analytics, and data quality principles

Degree in Computer Science, Engineering, Data Science, or related field (preferred)

Preferred / Bonus Skills

Exposure to machine learning or advanced analytics

Experience with cloud data platforms

If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details!

This vacancy is being advertised by Belcan

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