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- Tasks: Join a dynamic team to design and implement innovative data solutions.
- Company: Work with a leading financial services client in Swindon.
- Benefits: Enjoy a competitive salary, bonus scheme, and flexible benefits like private medical insurance.
- Why this job: Be part of a cutting-edge team shaping the future of data analytics.
- Qualifications: Must have commercial experience as a Data Engineer and knowledge of Azure technologies.
- Other info: Hybrid work model with 25 days holiday plus bank holidays.
The predicted salary is between 60000 - 75000 £ per year.
Senior Data Engineer – Data Modelling | Swindon (hybrid) | £60,000-£75,000 Peaple Talent are very excited to have partnered with a leading financial services client, based in Swindon who are looking for a new Senior Data Engineer. As a Senior Data Engineer, you will join the experienced Data Engineering team helping them in the design, development, testing, and deployment of quality data analytics solutions and services. Responsibilities: Providing technical leadership by staying up to date on the latest technologies and trends. Using technical knowledge to help the team develop innovative and effective solutions. Designing and implementing data solutions. Requirements: A number of years commercial experience as a Data Engineer Experience in implementing Data / Dimensional models (Kimball / star schema ideally) Data Warehouse and Report Layer design Experience using Microsoft Azure Experience using Azure DevOps Pipelines, Azure Synapse and Azure Databricks What’s in it for you? Salary – £60,000 – £75,000 Bonus scheme – on target bonus -15% Pension scheme – contribute up to 5% 25 days holiday + bank holidays ️ A range of other flexible benefits to include private medical insurance, dental insurance and much more
Senior Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent 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 data modeling techniques, especially the Kimball methodology and star schema. Highlight any specific projects where you've successfully implemented these models.
✨Tip Number 2
Familiarize yourself with Microsoft Azure and its services like Azure DevOps Pipelines, Azure Synapse, and Azure Databricks. Being able to discuss how you've used these tools in past projects will set you apart.
✨Tip Number 3
Stay updated on the latest trends in data engineering and analytics. Mention any recent technologies or methodologies you've explored that could benefit the team at StudySmarter.
✨Tip Number 4
Prepare to discuss your approach to technical leadership. Think of examples where you've guided a team or influenced project outcomes through your expertise in data solutions.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Highlight the key responsibilities and requirements, such as experience with data modeling and Azure technologies, to tailor your application accordingly.
Tailor Your CV: Customize your CV to emphasize your relevant experience in data engineering, particularly focusing on your work with data warehouses, dimensional models, and any specific projects involving Azure DevOps or Azure Databricks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your technical leadership skills. Mention specific examples of how you've contributed to previous teams and projects, especially in relation to the technologies mentioned in the job description.
Highlight Continuous Learning: Since the role requires staying up to date with the latest technologies, include any recent courses, certifications, or workshops you have completed that relate to data engineering or Azure services. This shows your commitment to professional growth.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data modeling, especially with Kimball and star schema. Highlight specific projects where you implemented these models and the impact they had on the organization.
✨Demonstrate Leadership Skills
As a Senior Data Engineer, you'll be expected to provide technical leadership. Share examples of how you've guided teams in adopting new technologies or improving processes, and be ready to discuss your approach to mentoring junior engineers.
✨Familiarize Yourself with Azure Tools
Since the role requires experience with Microsoft Azure, make sure you can speak confidently about Azure DevOps Pipelines, Azure Synapse, and Azure Databricks. Prepare to discuss how you've used these tools in past projects.
✨Prepare Questions About the Company
Research the financial services client and prepare insightful questions about their data strategy and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
