At a Glance
- Tasks: Join a dynamic team as a Senior Data Engineer, working with big data and advanced SQL.
- Company: Be part of an innovative SaaS tech company focused on customer-facing reporting.
- Benefits: Enjoy a competitive salary, 25 days holiday, health insurance, and a pension plan.
- Why this job: This role offers hands-on experience, career progression, and a collaborative work culture.
- Qualifications: Advanced SQL and Databricks experience, plus familiarity with Azure and Agile environments.
- Other info: Work remotely with occasional team meet-ups in Nottingham; we value diversity and inclusion.
The predicted salary is between 46800 - 78000 £ per year.
Senior Data Engineer (Databricks SQL Azure) Nottingham / WFH to £65k
Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company.
As a Senior Data Engineer you\’ll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. You\’ll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work.
As a senior member of the team you\’ll also contribute to technical discussions, strategic decision making and help to mentor more mid-level data engineers.
Location / WFH:
There\’s a remote interview and onboarding process and you\’ll be able to work from most of the time, meeting up with the team for constructive meetings once a month / quarter in the Nottingham office.
About you:
- You have advanced SQL and Databricks experience
- You have experience in cloud based environments, Azure preferred
- You have strong analysis and problem solving skills
- You have experience of working in Agile development environments
- You\’re collaborative with great communication skills
- Ideally you will some experience within an accountancy or finance environment
What\’s in it for you:
As a Senior Data Engineer (Databricks SQL) you will earn a competitive salary plus a range of benefits:
- Up to £65k
- 25 days holiday
- Vitality health insurance
- 5% non-contributory pension
- Death in Service
- Travel allowance to the Nottingham office
Apply now to find out more about this Senior Data Engineer (Databricks SQL Azure) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We\’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Engineer Databricks SQL Azure employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer Databricks SQL Azure
✨Tip Number 1
Familiarise yourself with Databricks and Azure if you haven't already. Consider taking online courses or tutorials that focus on advanced SQL and data modelling within these platforms, as this will not only boost your skills but also show your commitment to the role.
✨Tip Number 2
Engage with the data engineering community on platforms like LinkedIn or relevant forums. Sharing insights or asking questions about best practices in Databricks and Azure can help you build connections and demonstrate your enthusiasm for the field.
✨Tip Number 3
Prepare to discuss your experience in Agile environments during interviews. Think of specific examples where you've contributed to team discussions or decision-making processes, as this will highlight your collaborative skills and leadership potential.
✨Tip Number 4
If you have any experience in finance or accountancy, be ready to talk about it. Relating your technical skills to industry-specific scenarios can set you apart from other candidates and show how you can add value to the team.
We think you need these skills to ace Senior Data Engineer Databricks SQL Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced SQL and Databricks experience. Include specific projects or achievements that demonstrate your skills in cloud-based environments, particularly Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your problem-solving abilities and experience in Agile development environments. Mention your collaborative nature and communication skills, as these are key for the role.
Showcase Relevant Experience: If you have experience in an accountancy or finance environment, be sure to emphasise this in your application. It can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at Client Server
✨Showcase Your SQL Expertise
Be prepared to discuss your advanced SQL skills in detail. You might be asked to solve problems or optimise queries on the spot, so brush up on your SQL knowledge and be ready to demonstrate your thought process.
✨Familiarise Yourself with Databricks
Since the role heavily involves Databricks, make sure you understand its functionalities and how it integrates with Azure. Be ready to discuss any projects you've worked on using Databricks and how you approached data modelling.
✨Emphasise Your Agile Experience
The company values experience in Agile environments, so be prepared to share examples of how you've contributed to Agile teams. Discuss your role in sprints, stand-ups, and how you handle changing requirements.
✨Prepare for Technical Discussions
As a senior member, you'll be expected to contribute to technical discussions. Think about strategic decisions you've made in past roles and be ready to explain your reasoning and the outcomes of those decisions.