Data Scientist
Entech Technical Solutions Limited
Python, SQL, Snowflake, Power BI essential
£44.50 FCSA Umbrella (inside IR35)
£32.50 PAYE Larne,
Northern Ireland
Fully onsite role 5 days pw
May also suit a Data Engineer / Data Analyst with strong Python & data platform experience
We are currently looking for a Data Scientist with solid hands‑on experience across modern data platforms — Python, SQL, Snowflake, and the Microsoft Power Platform (Power BI, Power Apps, Power Automate).
Do you have experience in data engineering, ETL/ELT pipelines, data cleansing, data modelling, CRM data (ideally Salesforce), and supporting analytics across a business? Are you confident developing automated workflows, dashboards, and curated datasets to support reporting and KPI development?
We have an opportunity with a well‑known organisation who are looking to source someone for a long‑term contract (12 months minimum, highly likely to extend). We require a Data Scientist.
The responsibilities and tasks for this job include supporting high‑priority data engineering and analytics workstreams across the business. You will develop and maintain ETL pipelines, manage enterprise data quality, support KPI reporting, and help deliver automation and integration solutions across Power Platform and Salesforce.
If you feel you can cover most of the below bullet points and can demonstrate experience of the opening points of this description, we would love to hear from you. Candidates will have gained the following skills and experience through previous roles:
Responsibilities
- Developing and maintaining ETL/ELT pipelines using Python, SQL, and Snowflake
- Cleansing, validating, transforming, and managing enterprise data
- Supporting scheduled data loads and data quality checks
- Providing curated datasets for reporting and analytics
- Supporting KPI development and analytical models
- Troubleshooting data and reporting issues
- Developing dashboards and workflows using Power BI, Power Apps, Power Automate
- Supporting Salesforce CRM data integration
- Identifying and implementing automation opportunities
- Understanding data modelling, analytics, and data quality principles
- 3–5+ years’ experience in data science, analytics, data engineering, or automation roles
- Relevant degree preferred (Computer Science, Engineering, Data Science, etc.)
Working Hours: 8:00am – 4:00pm (flexible), 37.5 hours per week
Location: Fully onsite 5 days pw in Larne, Northern Ireland
Please apply for further details.
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