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- Tasks: Develop and implement data pipelines in a cloud-native Azure environment.
- Company: Leading investment management firm in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Influence a data-driven culture and contribute to a best-in-class Data Platform.
- Qualifications: Strong expertise in Azure Databricks, SQL, and data transformation processes.
- Other info: Collaborate with cross-functional teams in a dynamic work environment.
The predicted salary is between 48000 - 72000 £ per year.
An investment management firm in Greater London is looking for a Senior Data Engineer to develop and implement data pipelines in a cloud-native Azure environment. The role demands strong expertise in Azure Databricks, SQL, and data transformation processes.
The ideal candidate will collaborate with cross-functional teams and ensure data quality while leading on technical solutions and best practices. This position offers the opportunity to influence a data-driven culture within the organisation, contributing to a new best-in-class Data Platform.
Senior Data Engineer: Azure Databricks Platform Lead employer: Pantheon
Contact Detail:
Pantheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Databricks Platform Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in Azure Databricks and SQL. This will not only impress but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data transformation processes and common SQL queries. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Azure Databricks Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 data-driven culture. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can lead on technical solutions while ensuring everyone’s on the same page.
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 shows you’re keen to join our team!
How to prepare for a job interview at Pantheon
✨Know Your Azure Databricks Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be prepared to discuss specific projects where you've implemented data pipelines and how you tackled challenges. Highlight your experience with SQL and data transformation processes, as these will be key topics during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to explain how you communicate technical solutions to non-technical stakeholders and how you ensure everyone is on the same page.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss scenarios where you've had to troubleshoot data quality issues or optimise data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly show how your actions led to positive outcomes.
✨Emphasise Your Vision for a Data-Driven Culture
Think about how you can influence a data-driven culture within the organisation. Be ready to share your ideas on best practices for data management and how you would lead initiatives to improve data quality and accessibility across teams.
