At a Glance
- Tasks: Develop and maintain data pipelines, ETL processes, and support analytics.
- Company: Established organisation investing in Data & Analytics with a forward-thinking team.
- Benefits: Competitive salary, hybrid working, healthcare, and strong learning opportunities.
- Other info: Clear career progression and exposure to modern data technologies.
- Why this job: Join a dynamic team and make an impact on data management and analytics.
- Qualifications: 2+ years in data engineering or BI, strong SQL skills, and analytical mindset.
An established organisation is continuing to invest in its Data & Analytics function and is looking for a BI Data Engineer to join its growing team in Belfast. This is a great opportunity for a BI Data Engineer with a background in data engineering, business intelligence, SQL and data analytics to join a forward-thinking team and play a key role in improving how data is managed, accessed and used across the organisation.
You'll work across data pipelines, ETL, data modelling, reporting and analytics, helping to develop reliable data solutions and support better business decision-making. There will also be opportunities to work with modern technologies and contribute to wider data, analytics and AI initiatives. The role offers a hybrid working model in Belfast, a competitive salary of £45,000-£50,000, and the opportunity to develop your skills within an established Data & Analytics environment.
The Role
As a BI Data Engineer, you'll sit across the data engineering and business intelligence space, helping to ensure data is reliable, well structured and accessible for reporting and analytics. Your responsibilities will include:
- Developing and maintaining ETL processes and data pipelines
- Supporting the integration of data from multiple sources
- Designing and maintaining effective data models for reporting and analytics
- Working with data warehouses and modern data platforms
- Supporting business intelligence and reporting requirements
- Developing and improving data processes to enhance performance and reliability
- Identifying opportunities to improve data quality and consistency
- Working with stakeholders to understand data and reporting requirements
- Supporting dashboards, reporting products and analytical solutions
- Troubleshooting data and reporting issues
- Contributing to wider analytics, automation, AI and machine learning initiatives
- Helping to improve data processes, standards and ways of working across the team
What We're Looking For
We're looking for a BI Data Engineer or someone from a closely related Data Engineering, BI or Data Analyst background who is looking to develop further within a data-focused role. You'll ideally have:
- 2+ years' experience in a relevant data, BI or data engineering role
- Strong SQL skills and experience working with relational databases
- Experience developing or supporting ETL processes
- Understanding of data modelling and data warehousing
- Experience working with business intelligence or reporting technologies
- Strong analytical and problem-solving skills
- Good attention to detail and a focus on data quality
- The ability to work effectively with both technical and non-technical stakeholders
- A proactive and collaborative approach
Technical Experience
Experience with some of the following would be beneficial:
- Databricks
- AWS / AWS Glue
- Python or PySpark
- Delta Lake
- Spark
- Power BI, Qlik or Tableau
- API integrations
- SQL Server / relational databases
- Data quality and governance
- Advanced analytics, AI or Machine Learning
You don't need to have experience across every technology listed. We're particularly interested in candidates with a strong SQL, BI and data background who are keen to work with modern data platforms.
Why Join?
- £45,000-£50,000 salary
- Hybrid and flexible working
- Belfast-based opportunity
- Contributory pension
- Healthcare and life assurance
- Employee assistance programme
- Employee discounts and rewards
- Strong learning and development opportunities
- Clear potential for career progression
- Exposure to modern BI, data engineering and cloud technologies
- Opportunity to contribute to wider Data & Analytics transformation
Right to Work
Applicants must already have the existing and unrestricted right to work in the UK/Northern Ireland. This role does not offer visa sponsorship.
Interested?
If you're a BI Data Engineer, Data Engineer, BI Developer or Data Analyst with strong SQL and data experience and you're looking for your next opportunity in Belfast, we'd be keen to hear from you. This is a particularly good opportunity for someone who wants to develop their career across Business Intelligence, Data Engineering and Analytics, while gaining exposure to modern cloud and data technologies.
For further information on this BI Data Engineer role in Belfast, apply via the link or contact the VANRATH team for a confidential discussion.
BI Data Engineer in Newtownabbey employer: VANRATH
As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land BI Data Engineer in Newtownabbey
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at VANRATH
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
