More jobs:
Data Scientist
Job in
Larne, County Antrim, BT40, Northern Ireland, UK
Listed on 2026-06-21
Listing for:
Sivara GmbH
Full Time
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Salary
£28,000 - 50,000 per year
Requirements- 3-5+ years of 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, including Power BI, Power Apps, and Power Automate.
- Experience working with CRM data, with Salesforce preferred.
- Solid understanding of data modelling, analytics, and data quality principles.
- Preferable degree in Computer Science, Engineering, Data Science, or a related field.
- Bonus: exposure to machine learning or advanced analytics.
- Bonus: experience with cloud data platforms.
- Develop and maintain robust ETL and ELT data pipelines using Python, SQL, and Snowflake.
- Cleans, 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 the 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.
- Cloud
- CRM
- ETL
- Microsoft Power Platform
- Power BI
- Python
- SQL
- Salesforce
- Snowflake
We are a leading engineering organisation based in Larne, Northern Ireland, offering an on‑site 12‑month contract role working 37.5 hours per week with flexible start and finish times, typically 8:00 am to 4:00 pm. This is a hands‑on position focused on data engineering, analytics, and automation within a complex engineering environment, where you will help build data pipelines, deliver analytical insights, and support data‑driven decision‑making across the business.
We are looking for a data‑driven professional who wants to contribute to a cutting‑edge engineering environment.
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