Hybrid BI Data Engineer: Pipelines, Dashboards & Insights

Henderson Group; Newtownabbey; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Contributory pension

Healthcare

Life assurance

Employee Assistance

Social club

Store rewards platform

Staff discount

Hybrid working

Learning & development

Job summary

Henderson Group in Newtownabbey is seeking a Business Intelligence Data Engineer to design and develop scalable data solutions, build ETL pipelines and create meaningful insights that inform decision-making across the group.

You will work across multiple divisions to modernise analytics, optimise data models, dashboards and data visualisations, and ensure data quality while delivering high-impact analytics.

Qualifications

• 2+ years of experience in Data Engineering, BI Engineering, or similar role.
• Strong SQL skills and experience with relational databases.
• Experience with modern cloud data platforms (e.g., Snowflake, Databricks, Fabric).
• Experience with data warehousing, data modelling and big data concepts.
• Experience with BI tools such as Power BI, Tableau or Qlik.

Responsibilities

• Design, develop and optimise ETL pipelines and data integrations.
• Build and maintain data models that support reporting and analytics.
• Create dashboards and visualisations that drive business insights.
• Improve database performance, scalability and data quality.
• Partner with stakeholders to understand reporting and analytics requirements.

Skills

SQL skills

Relational databases

Data engineering

Analytical thinking

Stakeholder communication

Education

Degree in Computer Science or related

Tools

Snowflake

Databricks

Fabric

Power BI

Tableau

Qlik

Job description

Henderson Group in Newtownabbey is seeking a Business Intelligence Data Engineer to design and develop scalable data solutions, build ETL pipelines and create meaningful insights that inform decision-making across the group.

You will work across multiple divisions to modernise analytics, optimise data models, dashboards and data visualisations, and ensure data quality while delivering high-impact analytics.