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- Tasks: Transform complex data into clear insights and solutions for stakeholders.
- Company: Join a leading firm in the Energy Utilities sector focused on innovative data solutions.
- Benefits: Enjoy flexible remote work options and potential contract extensions.
- Why this job: Be part of impactful Smart Metering projects that drive real change in the energy sector.
- Qualifications: 15+ years in IT with 10+ years in Azure Data Analytics and Energy Utilities experience required.
- Other info: This is a senior role ideal for seasoned professionals looking to make a difference.
The predicted salary is between 54000 - 84000 £ per year.
Location: Windsor 1 x per week
Contract Duration: 6 Months (potential to extend), Inside IR35
Experience Level: Senior (15+ years in IT and 10+ Years Azure Data Analytics)
This role is for an Azure Data Analyst with an understanding of the Energy Utilities sector and hands-on experience with Smart Metering projects. We're looking for a data-driven professional who can transform complex data into clear insights and solutions.
What You’ll Do:
- Gather and integrate data from Azure sources, ensuring high data quality and accessibility.
- Design and build data models tailored to business and reporting needs.
- Transform raw data into actionable insights for stakeholders across the organization.
- Collaborate with cross-functional teams to understand objectives and deliver data-backed solutions.
- Monitor data accuracy, consistency, and reliability throughout its lifecycle.
- Proactively identify and resolve issues related to data quality and performance.
What You Bring:
- 15+ years in IT, with significant experience in Energy Utilities and Smart Metering projects.
- 10+ years as a Data Analyst within the Microsoft Azure ecosystem.
- Proven ability to analyze complex datasets, identify trends, and deliver actionable insights.
- Expertise in data modeling, statistical methods, and data transformation.
- Proficiency in SQL, Python or R for data analysis and manipulation.
- Solid experience with Azure services like Synapse Analytics, Data Factory, and Data Lake Storage.
- Strong problem-solving skills and a meticulous eye for data accuracy and quality.
Data Engineer employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to highlight your experience in the Energy Utilities sector during networking events or conversations. This will help you connect with professionals who are already in the field and may have insights or leads on job opportunities.
✨Tip Number 2
Join relevant online forums or groups focused on Azure Data Engineering and Smart Metering. Engaging in discussions can help you stay updated on industry trends and potentially lead to job referrals.
✨Tip Number 3
Attend industry conferences or webinars related to data analytics and energy utilities. These events are great for networking and can often provide direct access to hiring managers looking for candidates with your skill set.
✨Tip Number 4
Consider reaching out to current or former employees of StudySmarter on LinkedIn. A personal connection can give you valuable insights into the company culture and the specific requirements for the Data Engineer role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in IT, particularly your 15+ years in the Energy Utilities sector and 10+ years as a Data Analyst within the Microsoft Azure ecosystem. Emphasise your hands-on experience with Smart Metering projects.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills in data modelling, statistical methods, and data transformation align with the job requirements. Mention specific Azure services you have worked with, such as Synapse Analytics and Data Factory.
Showcase Relevant Projects: Include examples of past projects where you transformed complex datasets into actionable insights. Highlight your problem-solving skills and any instances where you improved data quality and performance.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. Ensure that all information is accurate and that your application presents a professional image.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your Azure Expertise
Make sure to highlight your extensive experience with Azure services, especially Synapse Analytics, Data Factory, and Data Lake Storage. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your Understanding of the Energy Utilities Sector
Since this role requires knowledge of the Energy Utilities sector, come equipped with examples of how you've applied data analytics in this field. Discuss any Smart Metering projects you've worked on and the impact they had.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, Python, or R. Brush up on your data analysis and manipulation skills, and be ready to solve problems on the spot or explain your thought process clearly.
✨Emphasise Collaboration Skills
This role involves working with cross-functional teams, so be ready to share examples of how you've collaborated with others to deliver data-backed solutions. Highlight your communication skills and ability to understand diverse objectives.
