At a Glance
- Tasks: Design and develop Power BI dashboards while transforming data for impactful insights.
- Company: Join a growing Data & Analytics team focused on modern data engineering.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge technologies and a chance to shape data governance.
- Why this job: Make a real difference by supporting better decision-making for services across the UK.
- Qualifications: Experience in Power BI, SQL, and data engineering is essential.
The predicted salary is between 37800 - 46200 £ per year.
Are you a Data or BI Engineer who wants to do more than simply build dashboards? We're recruiting for a Data & Insights Engineer to join a growing Data & Analytics function, combining hands-on Power BI development with data engineering, modelling and transformation. You'll work across the data lifecycle, from shaping and engineering the underlying datasets through to creating reporting and insights used by teams across Operations, Finance, HR and the wider organisation. It's a particularly strong opportunity for someone who enjoys the technical side of BI and wants greater exposure to modern data engineering and cloud data platforms.
What you'll be working on:
- Designing and developing Power BI dashboards, reports and semantic models
- Building and optimising DAX calculations and data models
- Developing data pipelines using SQL and modern data platforms
- Transforming and modelling data for scalable reporting
- Improving data quality, consistency and governance
- Integrating data from multiple systems and sources
- Working directly with stakeholders to turn complex requirements into useful insights
- Helping shape reporting, data architecture and governance as the function continues to mature
What we're looking for:
You'll ideally bring strong experience across: Power BI | SQL / SQL Server | DAX | Data Modelling | Data Transformation | Data Engineering / BI Engineering. You'll need to be comfortable working across both the engineering and reporting layers rather than specialising exclusively in one. Experience with any of the following would be particularly valuable: Microsoft Fabric | Snowflake | Databricks | ETL | APIs | Python | Data Governance.
Why consider it?
This is a chance to join a growing data function that's investing in its technology and moving towards a more modern data environment. Rather than inheriting a narrow reporting position, you'll have the opportunity to work across BI, engineering, architecture and data quality, while helping shape how data is used across a large, complex organisation. The work also has a genuine purpose – the insights and systems you build ultimately support better decision-making across services for children, young people and adults throughout the UK.
Interested? Apply directly or drop me a message for a confidential conversation about the role and the wider data transformation.
Data & Insights Engineer in Belfast employer: Applause IT Recruitment
Applause IT Recruitment is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the Data & Analytics function. Employees benefit from hands-on experience with modern data platforms, opportunities for professional growth, and a supportive environment that values contributions across various departments, making it a rewarding place to advance your career in data engineering and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Engineer in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Applause IT Recruitment!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Applause IT Recruitment.
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We think you need these skills to ace Data & Insights Engineer in Belfast
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Applause IT Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Applause IT Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Applause IT Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Applause IT Recruitment!
✨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.
