At a Glance
- Tasks: Design and develop data solutions that drive strategic decision-making using Power BI and Azure.
- Company: Join a forward-thinking organisation focused on data-driven innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on continuous learning and development.
- Why this job: Make an impact by transforming complex data into actionable insights.
- Qualifications: Degree in a related field and experience with Power BI and cloud technologies.
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 standards are maintained across all data platforms.
- Optimise and enhance existing reporting and analytics solutions to improve performance, usability, and reliability.
- Work closely with technical and business teams to identify opportunities for data-driven improvements and innovation.
- Provide technical guidance and support to users and stakeholders regarding reporting and analytical capabilities.
- Contribute to the ongoing development of the organisation's cloud-based data architecture and BI strategy.
- Maintain technical documentation and ensure solutions follow industry best practices.
- Stay current with emerging technologies, trends, and best practices within Business Intelligence, Data Engineering, Azure, and DevOps.
Essential Criteria
- Degree in Computer Science, Information Systems, Data Science, or a related discipline, or equivalent professional experience.
- Proven experience in a Data Engineer, Business Intelligence Developer, or similar role.
- Strong experience developing reports, dashboards, and analytical solutions using Microsoft Power BI.
- Experience working with Snowflake as a cloud data platform.
- Experience with Microsoft Azure data services and cloud-based data architectures.
- Knowledge and practical application of DevOps principles, tools, and methodologies.
- Strong SQL development and data modelling skills.
- Experience designing, developing, and maintaining ETL/ELT processes and data pipelines.
- Excellent analytical and problem-solving skills with the ability to translate complex requirements into effective technical solutions.
- Strong communication and stakeholder management skills.
- Ability to work independently and manage competing priorities in a dynamic environment.
Desirable Criteria
- Experience working within Higher Education, Further Education, or the wider education sector.
- Experience administering or developing solutions using COGNOS.
- Advanced knowledge of Power BI, including DAX, data modelling, and performance optimisation.
- Experience implementing CI/CD processes for data and analytics solutions.
- Knowledge of data governance, data security, and regulatory compliance requirements.
- Relevant Microsoft, Snowflake, or cloud platform certifications.
Data Engineer/ BI Engineer in Coventry 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 learning opportunities and a culture that values data literacy and evidence-based decision-making. Located in a vibrant area, our team enjoys access to modern technologies and a supportive atmosphere that encourages professional development and meaningful contributions to organisational success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer/ BI Engineer in Coventry
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering or BI. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Power BI, Snowflake, and Azure. Having tangible examples of your work can really impress potential employers and give them a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on common data engineering and BI questions. Be ready to discuss your experience with data pipelines and DevOps practices. Don’t forget to ask insightful questions about the company’s data strategy to show your interest!
✨Apply Through Our Website
When you find a role that excites you, 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 in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer/BI Engineer role. Highlight your experience with Power BI, Snowflake, and Azure, and don’t forget to showcase your skills in data pipelines and DevOps practices. We want to see how your background aligns with what we’re looking for!
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 you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:In your application, make sure to highlight your technical skills, especially in SQL, data modelling, and ETL processes. We’re keen on candidates who can demonstrate their expertise in developing reports and dashboards, so don’t hold back on sharing relevant examples!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better. We can’t wait to hear from you!
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 SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific instances where you transformed data into actionable insights or improved existing reporting solutions. This will demonstrate your analytical prowess.
✨Engage with Stakeholders
Since collaboration is key in this role, be prepared to discuss how you gather requirements from stakeholders. Share experiences where you translated business needs into effective data solutions, highlighting your communication skills.
✨Stay Current with Trends
Familiarise yourself with the latest trends in Business Intelligence and Data Engineering. Be ready to discuss emerging technologies and best practices, showing that you’re proactive about staying updated in this fast-evolving field.
