At a Glance
- Tasks: Design and maintain data pipelines, optimising processes for impactful business insights.
- Company: Established tech company driving digital transformation and data innovation.
- Benefits: Up to £50,000 salary, hybrid work model, and diverse project exposure.
- Other info: Opportunity for significant career growth and impact in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data strategy and reporting.
- Qualifications: Experience in data engineering, strong SQL skills, and knowledge of Azure technologies.
The predicted salary is between 50000 - 50000 £ per year.
Data Engineer - Dartford - Hybrid (3 Days) – Up to £50,000
We are working in partnership with a well‑established international technology business that delivers cutting‑edge solutions to commercial and industrial markets across the globe.
As part of its ongoing investment in digital transformation and data innovation, the company is looking to appoint a Data Engineer to join its growing internal IT function.
This is an excellent opportunity for a data‑driven professional to play a pivotal role in shaping and enhancing the organisation's data and Business Intelligence capabilities.
You’ll be responsible for building and maintaining robust data pipelines, optimising data processes as well as ensuring high- is available to support strategic decision‑making across the business.
Working closely with stakeholders from multiple departments, you’ll help design scalable data solutions, improve reporting capabilities and contribute to the ongoing evolution of the company's data landscape.
This position is ideal for someone who enjoys working across the full data life cycle and is passionate about turning complex data into valuable business insights.
The Role
- Design, develop and maintain ETL processes, data pipelines and integration solutions.
- Build and optimise data models to support reporting, analytics and business performance tracking.
- Partner with business stakeholders to gather requirements and translate them into effective, scalable data solutions.
- Ensure data accuracy, consistency, governance and quality across the BI environment.
- Support the continued enhancement of reporting and analytics platforms.
- Produce and maintain technical documentation, data processes and architecture standards.
- Required Experience
- Experience in a Data Engineer, BI Engineer or Data & Analytics role.
- Strong hands‑on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Synapse Analytics and/or Microsoft Fabric.
- Experience of designing and supporting ETL processes and data pipelines.
- Advanced SQL skills with experience working with large and complex datasets.
- Knowledge of Python for data processing, automation or analytics.
- Solid understanding of data warehousing principles and reporting best practices.
- Experience integrating and managing data from multiple sources and business‑critical systems.
- Strong analytical, problem‑solving and stakeholder engagement skills.
What do they offer?
- Hybrid working model with flexibility built in.
- Exposure to a diverse range of Data Engineering, Business Intelligence and Analytics initiatives.
- The chance to make a significant impact on the organisation's data strategy and reporting capabilities.
All candidates must be available to travel on‑site at least 3 days a week.
To be eligible for this role you're required a full, unrestricted right to work in the UK.
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Business Intelligence Data Engineer in Dartford employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Data Engineer in Dartford
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We think you need these skills to ace Business Intelligence Data Engineer in Dartford
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 Cyber Security training courses, 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 Cyber Security training courses. 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 Cyber Security training courses
✨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 Cyber Security training courses!
✨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.
