At a Glance
- Tasks: Design and develop data solutions that drive strategic decision-making.
- Company: Join a forward-thinking organisation focused on data-driven insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Transform complex data into impactful insights using cutting-edge BI technologies.
- Qualifications: Experience in data engineering, BI tools, and cloud technologies required.
The predicted salary is between 45000 - 55000 £ per year.
The Data Engineer/ BI Engineer plays a key role in designing, developing, and maintaining data solutions that support strategic decision-making across the organisation. Working closely with stakeholders, the successful candidate will transform complex data into meaningful insights through modern Business Intelligence technologies, whilst ensuring robust, scalable, and secure data platforms. This role combines expertise in data engineering, business intelligence, and cloud technologies, with a particular focus on Power BI, Snowflake, Azure, and DevOps practices. The candidate will contribute to the development of data products, reporting solutions, and data pipelines that enable evidence-based decision-making and drive organisational performance.
Duties and Responsibilities
- Design, develop, and maintain Business Intelligence solutions, reports, dashboards, and data products using Microsoft Power BI.
- Build and manage scalable data pipelines and data integration processes using Azure and Snowflake technologies.
- Collaborate with stakeholders to gather requirements and translate business needs into effective reporting and analytical solutions.
- Support the adoption of data products and promote data literacy across the organisation.
- Implement and maintain DevOps practices to support continuous integration, deployment, and monitoring of data and BI solutions.
- Ensure data quality, governance, security, and compliance.
Data Engineer/ BI Engineer employer: WEG Tech
As a leading employer in the data engineering and business intelligence sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values data-driven decision-making. Located in a vibrant area, our team enjoys a supportive atmosphere where creativity thrives, making it an ideal place for professionals eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer/ BI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential employers on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions, dashboards, and any projects you've worked on. This gives us a chance to see your expertise in action, especially with tools like Power BI and Azure.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineer/BI Engineer roles and practice your answers. We want to hear how you’ve tackled challenges and delivered insights using modern BI technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer/ BI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer/BI Engineer role. Highlight your expertise in Power BI, Azure, and Snowflake, and don’t forget to showcase any relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention specific examples of how you've transformed complex data into insights.
Showcase Your Technical Skills:We love seeing technical prowess! Include any certifications or training related to cloud technologies, DevOps practices, and Business Intelligence tools. This will help us see how you can contribute to our data solutions right from the start.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at WEG Tech
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Power BI, Snowflake, and Azure. Brush up on your knowledge of how these tools work together to create robust data solutions, as you’ll likely be asked to discuss your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've transformed complex data into actionable insights. Think about challenges you've faced in previous roles and how you overcame them using data engineering or BI techniques. This will demonstrate your ability to think critically and provide value.
✨Understand Stakeholder Needs
Since collaboration is key in this role, be ready to discuss how you gather requirements from stakeholders. Share your approach to translating business needs into effective reporting solutions, and highlight any successful projects where you’ve done this in the past.
✨Emphasise Data Governance and Security
Given the importance of data quality and security, be prepared to talk about your experience with data governance practices. Discuss how you ensure data integrity and compliance in your projects, as this will show that you take data responsibility seriously.
