At a Glance
- Tasks: Design and optimise data pipelines using Azure, Databricks, and streaming technologies.
- Company: Qualient Technology Solutions, a leading tech firm in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Ideal for those passionate about data architecture and governance.
- Why this job: Join a dynamic team and shape the future of data engineering in financial services.
- Qualifications: 10+ years experience in data engineering with strong skills in Python, Spark, and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Qualient Technology Solutions UK Limited in Greater London seeks a senior Data Engineer with over 10 years experience, including 3+ years with Python and Spark. This role requires extensive proficiency in Azure data services and expertise in data engineering principles, data architecture design, and pipeline optimization.
Key skills include:
- SQL
- Data governance
- Streaming technologies
Successful candidates will have Azure certifications and a strong background in financial services or economic data environments.
Senior Data Engineer - Azure, Databricks & Streaming Data employer: Qualient Technology Solutions UK Limited
Qualient Technology Solutions UK Limited is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, making it an ideal environment for those looking to advance their careers in data engineering. With a focus on cutting-edge technologies and a supportive team atmosphere, this company stands out as a rewarding place to contribute to impactful projects in the financial services sector.
Contact Details:
Qualient Technology Solutions UK Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Azure, Databricks & Streaming Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, and streaming data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure data services and data architecture design. We recommend practising common interview questions related to SQL and data governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer - Azure, Databricks & Streaming Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Python, and Spark. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in data engineering principles and pipeline optimisation.
Showcase Relevant Experience:If you've worked in financial services or economic data environments, let us know! We’re keen on candidates who can demonstrate their understanding of these sectors, so include specific projects or achievements that relate to this.
Highlight Certifications:Got any Azure certifications? Make them pop! We value continuous learning and professional development, so mentioning your certifications will definitely give you an edge in your application.
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 Qualient Technology Solutions UK Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Azure data services, Python, and Spark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Architecture Skills
Prepare to talk about your experience with data architecture design and pipeline optimisation. Have examples ready that demonstrate your ability to create efficient data flows and manage data governance effectively.
✨Understand the Financial Services Context
Since this role is in the financial services sector, it’s crucial to understand the unique data challenges in this field. Brush up on relevant regulations and how they impact data engineering practices.
✨Get Certified and Be Ready to Discuss It
If you have Azure certifications, be prepared to explain how they’ve helped you in your previous roles. If you don’t have them yet, consider mentioning your plans to get certified soon, showing your commitment to professional development.
