At a Glance
- Tasks: Design and maintain a modern BI platform, develop data pipelines, and create insightful dashboards.
- Company: Join a growing in-house IT team in Dartford with a hybrid work model.
- Benefits: Competitive salary up to £55,000 plus benefits and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to manage multiple projects and enhance your skills.
- Why this job: Make a real impact on business decisions through high-quality data solutions.
- Qualifications: Strong SQL skills, experience with Power BI, and excellent stakeholder engagement.
The predicted salary is between 50000 - 55000 £ per year.
Business Intelligence Data Engineer
Location: Dartford (Hybrid)
Salary: Up to £55,000 + Benefits
Type: Full-Time, Permanent
We are looking for a Business Intelligence Data Engineer to join a growing in‑house IT team, where you will play a key role in developing and maintaining a modern BI platform that supports business‑critical decision making.
This is an excellent opportunity to work across the full BI lifecycle, from designing data pipelines and creating insightful dashboards through to collaborating with stakeholders and driving continuous improvements across the organisation.
The Role
As the Business Intelligence Data Engineer, you will be responsible for designing, developing and maintaining the organisation's Business Intelligence infrastructure. You will work closely with business stakeholders to deliver meaningful reporting, ensure data integrity and support strategic projects across multiple business functions.
Key Responsibilities
- Design, develop and maintain ETL processes and data pipelines.
- Build and optimise data models for reporting and analytics.
- Develop dashboards and reports using Power BI.
- Work with stakeholders to define KPIs and reporting requirements.
- Ensure the accuracy, integrity and availability of business data.
- Monitor BI systems and scheduled ETL processes.
- Troubleshoot technical issues and provide BI application support.
- Analyse root causes of system failures and implement improvements.
- Produce reports using Power BI and Excel.
- Manage BI‑related projects from requirements gathering through to delivery.
- Create and maintain technical documentation.
- Deliver user training and provide ongoing support where required.
- Liaise with third‑party suppliers on development and support activities.
- Support testing, change management and system enhancements.
About You
We are looking for someone who combines strong technical expertise with excellent stakeholder engagement skills.
Essential Skills & Experience
- Strong experience designing and supporting Business Intelligence solutions.
- Advanced SQL skills with experience in data querying and transformation.
- Experience with Power BI, including dashboard and report development.
- Knowledge of DAX and Python.
- Experience building and maintaining ETL processes.
- Strong understanding of data modelling and data governance.
- Experience working with Microsoft Dynamics 365 Business Central (or similar ERP platforms).
- Excellent analytical and problem‑solving skills.
- Ability to communicate effectively with both technical and non‑technical stakeholders.
- Experience managing multiple priorities in a fast‑paced environment.
- Strong documentation and project delivery skills.
Desirable Experience
- Supporting Finance, Sales, Purchasing or Warehouse systems.
- Working across multiple company databases.
- Experience with customised ERP environments.
- Knowledge of software project delivery methodologies.
- Experience supporting business application change and continuous improvement.
If you are an experienced BI Data Engineer looking to make a real impact by delivering high‑quality data solutions that drive business performance, please apply with your CV today!
BI Data Engineer employer: Parkside
Parkside is an excellent employer that fosters a creative and supportive work culture, perfect for those looking to make a meaningful impact in the e-commerce and social media landscape. With a focus on employee growth and development, you will have the opportunity to take ownership of projects and see your ideas come to life, all while being part of a dynamic team in the vibrant UK market.
StudySmarter Expert Advice🤫
We think this is how you could land BI Data Engineer
✨Get Involved in Data Science Meetups
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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 Parkside.
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When you find a suitable opening like BI Data Engineer at Parkside, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Parkside, 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 Parkside. 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 Parkside
✨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 Parkside!
✨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.
