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- Tasks: Design and maintain scalable data pipelines using Azure and Snowflake for analytics and reporting.
- Company: Leading alternative asset management firm in Europe with a high-performing data team.
- Benefits: Health insurance, vacation, and a supportive work environment.
- Other info: Opportunity for career growth in a collaborative and innovative setting.
- Why this job: Join a dynamic team and make an impact on large-scale cloud-based projects.
- Qualifications: 7+ years in software development and 5+ years with data-intensive systems.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Our client is one of the leaders in alternative asset management on the European market.
We are seeking an experienced Senior Data Engineer to join a high‑performing data team working on a large‑scale, cloud‑based platform. In this role, you will design, build, and maintain robust data pipelines and data‑warehousing solutions that enable analytics, reporting, and business‑intelligence initiatives. The position requires regular collaboration with stakeholders and on‑site presence at the client’s Central London office 3–4 days per week.
Responsibilities
- Design, build, and maintain scalable data pipelines using Azure and Snowflake
- Develop and optimize ETL / ELT processes for batch and micro‑batch data workloads
- Work with Azure Data Factory, Azure SQL, Azure Storage, and Azure Functions
- Design and maintain data warehouse models (dimensions, facts, star/snowflake schemas)
- Apply best practices in Kimball and Inmon data‑warehousing methodologies
- Write, optimize, and maintain complex SQL queries supporting analytics and reporting
- Ensure data quality, consistency, and reconciliation across multiple data sources
- Collaborate with Business Intelligence teams to support dashboards and reporting tools
- Participate in technical requirements gathering and solution design discussions
- Contribute to data platform architecture design, including performance and infrastructure considerations
- Troubleshoot issues and continuously improve system performance and reliability
Requirements
- 7+ years of experience in software development
- 5+ years of experience working with data‑intensive systems
- At least 2 years of hands‑on experience with cloud‑based data platforms (Azure preferred)
- Strong hands‑on experience with the Azure Data Platform, including Azure Data Factory, Azure SQL, Azure Storage, Azure Functions
- Strong SQL expertise, including data‑modeling and complex ETL‑based SQL development
- Proven experience building periodic and micro‑batch pipelines
- Solid understanding of data‑warehouse architecture and data loading strategies
- 1+ year of hands‑on experience with Snowflake
- Strong analytical and problem‑solving skills with a focus on data quality
- Experience working with large datasets in enterprise environments
Nice to Have
- Advanced experience with Snowflake (performance tuning, optimization, cost management)
- Proficiency in Python and/or Databricks
- Previous experience supporting enterprise BI platforms
- Exposure to CI/CD pipelines and infrastructure‑as‑code concepts
Benefits
- Vacation: As per the laws of your country. We encourage a proper rest.
- Health insurance: We assist you in taking out a policy for you and your loved ones.
- Benefits package may vary depending on region and contract type.
Senior Data Engineer (Azure) in London employer: DataArt Solutions, Inc
Contact Detail:
DataArt Solutions, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Azure) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Azure and Snowflake. This will give potential employers a clear idea of your capabilities and how you can contribute to their team.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL skills and understanding data warehousing concepts. Practice common interview questions and be ready to discuss your past experiences with data pipelines and cloud platforms.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (Azure) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure, Snowflake, and data pipelines. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or maintained data pipelines. We love seeing real examples of your work, especially if they involved complex SQL queries or cloud-based solutions.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how your experience aligns with our needs. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at DataArt Solutions, Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure and Snowflake, as these are key to the role. Brush up on your knowledge of Azure Data Factory, SQL, and data warehousing methodologies like Kimball and Inmon. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you improved data quality or optimised ETL processes. This will demonstrate your analytical skills and ability to think critically under pressure.
✨Collaborate Like a Pro
Since this role involves working closely with stakeholders and BI teams, be ready to talk about your experience in collaboration. Share examples of how you’ve gathered technical requirements or contributed to solution design discussions. Highlighting your teamwork skills can set you apart.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy or the team’s current projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.