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- Tasks: Lead a team to design and optimise data solutions using Snowflake, Azure, and DBT.
- Company: Join Yü Group, a top energy supplier in the UK focused on sustainable solutions.
- Benefits: Enjoy 24 days annual leave, learning opportunities, and enhanced family policies.
- Why this job: Make a real impact in the energy sector while growing your career in data engineering.
- Qualifications: Proven experience in data engineering with strong skills in Snowflake, SQL, and Python.
- Other info: Hybrid work model with a dynamic team and excellent career growth potential.
The predicted salary is between 60000 - 65000 £ per year.
Department: YUG - 9035 - Data Management
Employment Type: Permanent - Full Time
Location: Leicester
Reporting To: Data Engineering Manager
Compensation: £60,000 - £65,000 / year
Description
Location: Leicester LE3 - Hybrid 3 days a week working in office
Working hours: Monday to Friday - 37.5 Hrs
Yü Group Plc is a leading energy supplier in the United Kingdom, committed to providing reliable and sustainable energy solutions to our customers. As we continue to grow and innovate in the dynamic energy sector, we are seeking a highly skilled and experienced professional to join our team as a Senior Data Engineer.
As the Senior Data Engineer, you will play a pivotal role in growing our data engineering function in an infrastructure focused on the core stack leveraging Snowflake, DBT and Azure. You will be responsible for coaching and mentoring a small team of data engineers with the Data Engineering Manager whilst delivering high quality data products. You will be instrumental in the scaling of our data platform and fostering engineering excellence within the team.
What We Need from Yü
- Data Standards and Governance
- Implement modern engineering standards, including CI/CD, testing, code reviews, and robust data quality/governance controls within the data team.
- Ensure data quality, integrity, and governance through comprehensive testing, documentation, and monitoring processes.
- Technical Leadership in Engineering
- Provide technical guidance and leadership for the design, development, and maintenance of robust, automated data pipelines and data management processes.
- Design, build, and optimize scalable data solutions using Snowflake, Azure Data Services, and DBT for data transformation and modelling.
- Optimize performance and cost of data workloads within Snowflake (query tuning, warehouse sizing) and Azure environments.
- Line Management and Team Development
- Manage and mentor a team of data engineers, supporting their professional development and career paths.
- Collaborate with data architects, analysts, data scientists, and business stakeholders to understand data requirements and deliver high-impact solutions.
- Plan work, estimate tasks, manage team’s contribution to AGILE delivery via sprints and other key practices.
- Collaboration
- Work closely with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide strategic guidance.
- Collaborate with subject matter experts in these domains to ensure key requirements have been provided.
- Contribute to the Key Performance Indicators (KPIs) related to data quality, analytics, and business impact.
About Yü
If you have what it takes you could be just what we’re looking for…
- Proven experience as a Data Engineer in a senior capacity, demonstrated line management or team leadership experience.
- Strong hands-on experience with Snowflake (schema design, performance tuning, SnowSQL, RBAC).
- Proven experience with DBT for modular data modelling, testing, documentation, and CI/CD integration.
- Expertise in Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Blob Storage) for end-to-end pipeline orchestration, AWS and GCP experience will be considered of nigh equal importance.
- Strong proficiency in SQL and Python for data manipulation, automation, and complex data processing.
- Experience with version control systems, such as GitHub, and CI/CD practices, such as Azure DevOps.
- Familiarity with regulatory requirements, especially in the area of data protection and privacy.
- [Preferable, not essential] Strong understanding of the energy industry and/or regulated industries such as financial services or insurance.
- [Preferable, not essential] Exposure to data visualisation software such as PowerBI, Tableau and Sigma.
- [Preferable, not essential] Familiarity with orchestration tools such as Airflow or Prefect.
- [Preferable, not essential] Understanding of machine learning algorithms and statistical methods.
Yü Come First
We have a wide range of benefits for our employees including:
- 24 days annual leave + bank holidays
- Holiday buy – up to 5 additional days
- Day off on your birthday
- Employee Assistance Programme
- Annual salary review
- Learning and development opportunities
- Enhanced paternity, maternity and adoption policies
- Yü made a difference Awards
- 3 days additional annual leave if you get married/civil partnership etc.
- Appointment allowance
- Long service recognition
- Refer a friend payment
- Company sick pay (subject to length of service)
- New modern facilities
- Death in service and critical illness cover
- Plus, many more
If you need any reasonable adjustments to help you apply for a role, please let us know and we will see what we can do.
This position does not fulfil the UK Visas & Immigration sponsorship criteria for Skilled Worker, therefore we can only accept applications from candidates who already have an indefinite right to work in the UK.
Senior Data Engineer in Leicester employer: Yu Energy
Contact Detail:
Yu Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leicester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at Yü Group. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Snowflake, DBT, and Azure. We want to see how you can contribute to our data engineering function!
✨Tip Number 3
Show us your passion for data! During interviews, share examples of projects where you've implemented modern engineering standards or led a team. We love hearing about your successes and how you can bring that energy to Yü Group.
✨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, it shows you’re genuinely interested in joining our team at Yü Group.
We think you need these skills to ace Senior Data Engineer in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake, DBT, and Azure, as well as any leadership roles you've had. We want to see how your skills match 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. Don't forget to mention your experience in mentoring and coaching others.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve data pipelines or governance practices.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Yu Energy
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, DBT, and Azure Data Services. Brush up on your schema design, performance tuning, and data pipeline orchestration skills. Being able to discuss specific projects where you've used these technologies will show your hands-on experience.
✨Showcase Leadership Skills
As a Senior Data Engineer, you'll be expected to mentor others. Prepare examples of how you've led teams or coached colleagues in the past. Highlight your approach to fostering a collaborative environment and how you’ve contributed to team development.
✨Understand the Business Context
Familiarise yourself with Yü Group's mission and the energy sector. Be ready to discuss how your technical skills can help meet their data needs and improve business outcomes. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles, particularly around data quality and governance. Be ready to explain your thought process and the steps you took to resolve issues.
