At a Glance
- Tasks: Develop and optimise data platforms while ensuring top-notch data management.
- Company: Join Deepstreamtech, a forward-thinking company focused on data innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data excellence and career advancement.
- Why this job: Make a real impact by aligning data with business intelligence needs.
- Qualifications: Strong SQL skills and experience with Microsoft Fabric and Azure data services.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is looking for a Data Engineer & Analyst to develop and optimize data platforms while ensuring high standards in data management. This role involves working closely with the BI Manager to align data outputs with business intelligence needs.
Key responsibilities include:
- Managing data ingestion processes
- Implementing data quality checks
- Providing structured datasets for business reporting
Strong SQL skills, experience with Microsoft Fabric, and familiarity with Azure data services are essential for this position.
Senior Data Engineer & Analytics Integrator in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Data Engineers & Analytics Integrators to thrive. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that values creativity and encourages meaningful contributions to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer & Analytics Integrator in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Deepstreamtech on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL prowess and experience with Microsoft Fabric. This can really set us apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and follow up easily.
We think you need these skills to ace Senior Data Engineer & Analytics Integrator in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL skills and experience with Microsoft Fabric and Azure data services. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience can help us optimise our data platforms. Keep it engaging and personal.
Showcase Your Data Management Skills:In your application, emphasise your experience with data ingestion processes and quality checks. We’re looking for someone who can ensure high standards in data management, so give us examples of how you’ve done this before.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Deepstreamtech
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to answer technical questions and possibly even solve problems on the spot. Practising common SQL queries and understanding how to optimise them will give you a solid edge.
✨Familiarise Yourself with Microsoft Fabric and Azure
Dive deep into Microsoft Fabric and Azure data services before your interview. Understand their functionalities and how they can be applied in data engineering. Being able to discuss specific use cases or projects where you've used these tools will show your expertise and readiness for the role.
✨Align with Business Intelligence Needs
Since you'll be working closely with the BI Manager, it’s crucial to understand how data outputs align with business intelligence needs. Prepare examples of how you've previously managed data ingestion processes and ensured data quality checks that directly supported business reporting.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company’s data management practices and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
