Henderson Group
Business Intelligence Data Engineer
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Business Intelligence Data Engineer
Attractive Salary & Benefits
36.5 Hour Week
Newtownabbey (Must reside within daily commuting distance)
Permanent or 12-Month Fixed Term Contract (Your Choice)
Who are we?
Henderson Group are proud to be one of Northern Ireland’s leading employers. Our group encompasses Henderson Wholesale, Henderson Retail, Henderson Foodservice, Henderson Group Property, and Henderson Technology. Each of our divisions are Investors in People accredited at Gold/ Platinum level, and we employ over 6,000 colleagues across the group.
A look into the role…
We are recruiting a Business Intelligence Data Engineer to join our Information Services team and help shape the future of Data & Analytics across our Group. You'll play a key role in designing and developing scalable data solutions, building robust ETL pipelines, and creating meaningful insights that support business decision-making. Working across multiple business areas, you'll have the opportunity to modernise analytics capabilities and deliver high-impact solutions that create real value.
This role would suit someone with strong analytical skills, a passion for data, and the ability to translate complex information into clear business insights. Experience with Python (PySpark) and/or Databricks would be particularly advantageous.
The Business Intelligence Data Engineer will:
- Design, develop and optimise ETL pipelines and data integrations.
- Build and maintain data models that support reporting and analytics.
- Create engaging dashboards and data visualisations.
- Improve database performance, scalability and data quality.
- Partner with stakeholders to understand reporting and analytics requirements.
Implement Efficient ETL Processes That Support Business Needs
- Develop and maintain ETL processes that bring data from multiple sources into our data platform.
- Optimise existing data pipelines for performance and reliability.
- Design robust data architecture solutions that support evolving business requirements.
- Promote consistent, high-quality data and a "single version of the truth" across the organisation.
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Design and Implement Data Models for Business Intelligence Reporting and Analytics
- Create dimensional data models to support reporting and self-service analytics.
- Enhance analytics capabilities that enable faster, more informed decision-making.
- Ensure data integrity, quality and accuracy across reporting solutions.
- Support secure access to business-critical data.
Create Intuitive and Interactive Data Visualisations
- Design and develop interactive dashboards and reports that deliver actionable insights.
- Apply data visualisation best practices to create engaging user experiences.
- Incorporate drill-downs, filters and interactive features for deeper analysis.
- Identify opportunities for predictive analytics and scenario modelling.
Optimise Database Performance, Query Execution and Data Processing
- Analyse and improve SQL queries, indexing strategies and database performance.
- Support scalable solutions capable of handling increasing data volumes.
- Monitor, troubleshoot and resolve performance issues.
- Explore opportunities to automate processes and improve efficiency.
Skills for Success
To be considered, you'll need:
- At least 2 years' experience in a Data Engineering, BI Engineering or similar role.
- Strong SQL skills and experience working with relational databases.
- Experience in working with & supporting modern cloud data platforms e.g. Snowflake, Databricks, Fabric
- Experience of data warehousing, data modelling and big data concepts.
- Experience with BI tools such as Qlik, Tableau or Power BI.
You'll also bring:
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder engagement skills.
- The ability to manage multiple priorities effectively.
- A collaborative approach and desire to work as part of a high-performing team.
- A passion for using data to drive business value and informed decision-making.
It would be great if you also have:
- A degree in Computer Science, Engineering or a related discipline.
- Experience with Python, PySpark, Databricks or modern cloud data platforms.
- Experience building ETL solutions, APIs and data integrations.
- Experience with Power BI, Tableau, QlikView or Qlik Sense.
- Experience improving data quality and governance.
- Retail sector experience.
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Are we right for you?
As part of this role, it will be important that you feel aligned with the values that we live and work by.
- Ambition – We always strive to be better. We seek new challenges and look for ways to do things better.
- Customer First – We provide exceptional service. We put customers at the heart of everything and support our communities.
- Teamwork – We succeed together. We help colleagues to succeed, and we share our knowledge and skills.
- Integrity – We are fair, honest and ethical. We treat everyone with dignity and respect. We are inclusive and champion diversity.
The Reward
This is an opportunity to join a business where your work will have real impact. You'll help shape how data is used across one of Northern Ireland's largest and most successful organisations while being supported to develop your career.
In return, we offer:
- Competitive salary
- Contributory pension
- Healthcare and life assurance
- Employee Assistance Programme
- Social Club
- The Store Rewards & Discount Platform
- Staff discount on grocery and fuel purchases at company-owned SPAR and EUROSPAR stores
- Hybrid and flexible working options
- Ongoing learning and development opportunities
This is a full-time position working 36.5 hours per week, with an early finish every Friday.
Our business has been recognised externally for delivering excellence in employment - we value employee development and heavily invest in our people.
If you'd like to speak with us before making your application, our Talent Acquisition Specialist – Joanne McClelland would be happy to have a confidential chat with you about the role on offer - email joanne.mcclelland@henderson-group.com to get in touch.
Completed applications must be submitted online by midnight on Thursday 24th September 2026.
We are an equal opportunities employer.
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