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For Companies At a Glance
- Tasks: Lead the development of data solutions and BI systems while guiding a team of specialists.
- Company: Join a trusted IT recruitment firm focused on building long-term relationships in tech.
- Benefits: Enjoy a hybrid work model, competitive salary, excellent bonuses, and additional perks.
- Why this job: Make an impact by driving insights and supporting decision-making in a dynamic environment.
- Qualifications: Significant experience with Azure tools, SQL, Power BI, and team leadership is essential.
- Other info: Ownership and user experience are key values; third-line support may be required.
The predicted salary is between 48000 - 84000 £ per year.
An experienced Lead BI Developer is urgently required by my client with significant experience of designing, building, implementing and maintaining robust data solutions on Azure SQL and BI platforms. Strong knowledge of ADF, Azure Data Lakes, Azure SQL and Synapse Analytics will be needed, along with experience of designing data pipelines (ETL/ ELT). Experience of technical leadership will also be required.
Lead BI Developer Role and Responsibilities:
- Development and maintenance of the Data Warehouse and Business Intelligence system infrastructure
- Gather, interpret and develop reporting requirements through working in partnership with business leads
- Develop and drive actionable insights from our data sources to support senior management decision-making
- Conducting data quality checks while ensuring data integrity and accuracy across all spectrums before implementing findings
- Lead a team of specialist BI staff to develop reports, visualisations and presentations to communicate strategic findings
Lead BI Developer Skills and Experience:
- Significant experience of with ADF, Azure Data Lakes, Azure SQL and Synapse Analytics
- In-depth understanding of SQL development and Power BI
- Detailed experience with designing ETL data pipelines processes and data warehousing in a CI/ CD environment
- Experience of presenting complex data effectively through the use of data visualisation techniques
- Experience of leading a team of BI Development staff
- Understanding of data quality and ability to prepare data for analysis
Providing an intuitive simple user experience is key to the way my client operates, so understanding business requirements and delivering suitable solutions will be required. Ownership is a key part of the ethos as well and as such there is a responsibility to provide third line support of solutions in production if required.
Locations
Lead BI Developer in Warrington, Cheshire employer: Essential Recruitment
Contact Detail:
Essential Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead BI Developer in Warrington, Cheshire
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory and Power BI. Consider creating a small project or case study that showcases your skills using these technologies, as this will demonstrate your hands-on experience during interviews.
✨Tip Number 2
Network with professionals in the BI field, especially those who work with Azure technologies. Attend local meetups or online webinars to connect with others and gain insights into the latest trends and best practices, which can give you an edge in discussions during the interview process.
✨Tip Number 3
Prepare to discuss your leadership experience in detail. Think of specific examples where you've led a team or project, focusing on how you managed challenges and drove results. This will be crucial since the role requires technical leadership and team management.
✨Tip Number 4
Research the company’s approach to data quality and user experience. Understanding their ethos and how they implement solutions will allow you to tailor your responses in interviews, showing that you align with their values and can contribute effectively to their goals.
We think you need these skills to ace Lead BI Developer in Warrington, Cheshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Azure Data Lakes, and SQL development. Use specific examples of projects where you've designed data pipelines or led BI teams to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership experience and how you've successfully driven actionable insights from data. Mention your understanding of business requirements and how you can deliver suitable solutions.
Showcase Relevant Skills: Clearly list your technical skills related to the job description, such as ETL/ELT processes, Power BI, and data visualisation techniques. This will help the hiring team quickly see that you meet their requirements.
Highlight Team Leadership: Since the role requires leading a team, include examples of your leadership style and any successful projects you've managed. Discuss how you foster collaboration and drive results within your team.
How to prepare for a job interview at Essential Recruitment
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Azure Data Factory, Azure Data Lakes, and SQL development. Be prepared to discuss specific projects where you've designed and implemented data pipelines, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Leadership Questions
Since the role requires technical leadership, be ready to share examples of how you've led a team in the past. Discuss your approach to mentoring team members and how you ensure that projects are delivered on time and meet quality standards.
✨Understand Business Requirements
Familiarise yourself with the importance of aligning BI solutions with business needs. Be prepared to discuss how you've gathered and interpreted reporting requirements in previous roles, and how you translated those into actionable insights for decision-making.
✨Demonstrate Data Quality Awareness
Emphasise your understanding of data quality and integrity. Be ready to explain the processes you use to conduct data quality checks and how you ensure accuracy before implementing findings, as this is crucial for maintaining robust data solutions.
