Data Engineer: Manufacturing Analytics & Data Pipelines

C&D Foods & Affiliates; Leinster; Hybrid; EUR 70,000 - 95,000; Full time

Job summary

C&D Foods & Affiliates is seeking a Data Engineer for the IT Team at our Head Office in Mullingar, Co. Westmeath or Manchester, UK.

You will design and maintain data pipelines, transform operational data into trusted datasets, and deliver dashboards and automated workflows to improve decision-making. You will bring strong SQL and data warehousing expertise, with hands-on experience across Power BI, Power Query, DAX, and Power Automate, and be comfortable working across cloud, on‑premise and

Qualifications

• Strong SQL development and complex query skills.
• Experience with relational and analytical databases across cloud/on‑prem, including Snowflake/Databricks/BigQuery.
• Proven Power BI dashboard development experience for operational insights.
• Knowledge of data quality, governance, and data management principles.

Responsibilities

• Design, develop, and maintain data pipelines and curated datasets for reporting.
• Support ETL/ELT processes and data integration from ERP and manufacturing systems.
• Monitor data quality, troubleshoot issues, and optimise performance.
• Create and maintain dimensional models and semantic layers for self‑service analytics.
• Develop Power BI dashboards and collaborate with stakeholders on requirements.

Skills

SQL development

Data warehousing

Power BI

ETL/ELT

Cloud data platforms

Data modeling

Power Automate

Data governance

Education

Bachelor’s degree in CS/IT/Data Analytics

Tools

SQL Server

Oracle

PostgreSQL

MySQL

Snowflake

Databricks

BigQuery

Redshift

Power BI

Power Query

DAX

Power Automate

Job description

C&D Foods & Affiliates is seeking a Data Engineer for the IT Team at our Head Office in Mullingar, Co. Westmeath or Manchester, UK.

You will design and maintain data pipelines, transform operational data into trusted datasets, and deliver dashboards and automated workflows to improve decision-making. You will bring strong SQL and data warehousing expertise, with hands-on experience across Power BI, Power Query, DAX, and Power Automate, and be comfortable working across cloud, on‑premise and