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- Tasks: Lead data migrations and design robust data architectures using Azure services.
- Company: Join a dynamic team focused on innovative data solutions and advanced analytics.
- Benefits: Enjoy a collaborative environment with opportunities for technical mentorship and growth.
- Why this job: Perfect for self-starters passionate about data-driven decision-making and continuous improvement.
- Qualifications: Experience with Azure SQL, Python/PySpark, and data integration tools is essential.
- Other info: No sponsorship or relocation offered; must live within commuting distance.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer Our client is seeking an experienced Senior Data Engineer to take ownership of designing, implementing, and managing scalable data solutions. This role is pivotal in ensuring data quality, supporting M&A data migrations, and enabling advanced analytics for business decision-making. Key Responsibilities: Lead data migrations into the proprietary SQL database following M&A. Design, develop, and maintain robust data architectures using Azure services. Build and optimize ETL/ELT pipelines and data models. Ensure data security, compliance, and quality governance. Implement and monitor Azure-based tools such as Data Factory, Databricks, Synapse Analytics, and Data Lake. Collaborate with cross-functional teams and provide technical mentorship. Ideal Candidate: Passionate about data-driven decision-making with a strong eye for detail. Skilled in Azure SQL, Python/PySpark, Azure Synapse, and data integration tools. Experienced in designing and optimizing complex queries, data models, and pipelines. Holds certifications such as Azure Data Engineer Associate or equivalent. Team-oriented with excellent communication and problem-solving skills. This role is perfect for self-starters who thrive in dynamic environments and are eager to drive continuous improvement in data engineering practices. Unfortunately, there is no sponsorship for this role, so please only apply if you don’t need this in the future. No relocation is offered for this role, so you must live in a commutable distance.
Senior Data Engineer employer: NRG.
Contact Detail:
NRG. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Azure services prominently. Highlight specific projects where you've designed and implemented data architectures using Azure tools like Data Factory or Databricks.
✨Tip Number 2
Demonstrate your expertise in ETL/ELT processes by discussing any complex pipelines you've built or optimized. Use metrics to show the impact of your work on data quality and performance.
✨Tip Number 3
Since collaboration is key, prepare examples of how you've worked with cross-functional teams. Emphasize your role in mentoring others and how you contributed to team success.
✨Tip Number 4
If you hold relevant certifications like the Azure Data Engineer Associate, make sure to mention them. This will reinforce your qualifications and commitment to professional development in data engineering.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Tailor your application to highlight your experience with data migrations, Azure services, and ETL/ELT pipelines.
Highlight Relevant Skills: Emphasize your skills in Azure SQL, Python/PySpark, and data integration tools. Provide specific examples of how you've used these technologies in past projects to demonstrate your expertise.
Showcase Certifications: If you hold any relevant certifications, such as Azure Data Engineer Associate, make sure to mention them prominently in your CV and cover letter. This can set you apart from other candidates.
Tailor Your Cover Letter: Write a personalized cover letter that reflects your passion for data-driven decision-making and your ability to work in dynamic environments. Mention how your previous experiences align with the company's goals and values.
How to prepare for a job interview at NRG.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure services, SQL databases, and data integration tools. Highlight specific projects where you designed and optimized ETL/ELT pipelines or data models.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in data engineering and how you overcame them, especially in dynamic environments.
✨Emphasize Collaboration and Mentorship
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share instances where you provided technical mentorship or contributed to team success.
✨Prepare for Data Quality and Security Discussions
Given the importance of data quality and compliance, familiarize yourself with best practices in data governance. Be ready to discuss how you've ensured data security and quality in your previous roles.
