Data Scientist

Belcan LLC
Larne, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate

Job location

Larne, United Kingdom

Tech stack

Data analysis
Big Data
Databases
Customer Data Management
Information Engineering
Data Governance
ETL
Python
Machine Learning
Power BI
Cloud Services
Salesforce
SQL Databases
Microsoft Power Automate
Snowflake
Information Technology
Data Analytics
Data Pipelines
Powerapps

Job description

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

Requirements

  • 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!

Apply for this position