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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 as per local laws, and a supportive work environment.
- Other info: On-site presence in Central London 3–4 days a week with excellent career growth opportunities.
- Why this job: Join a dynamic team and work on impactful cloud-based data solutions.
- Qualifications: 7+ years in software development and 5+ years with data-intensive systems required.
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) 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)
✨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. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with Azure, Snowflake, and data pipelines. This will give potential employers a clear view of what you can bring to the table.
✨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 projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Senior Data Engineer role. We love seeing candidates who are proactive and engaged with our platform!
We think you need these skills to ace Senior Data Engineer (Azure)
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 Azure Inside Out
Make sure you brush up on your Azure knowledge, especially Azure Data Factory, SQL, and Storage. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing and maintaining data pipelines. Have specific examples ready that highlight your ability to optimise ETL/ELT processes and ensure data quality across multiple sources.
✨Understand Data Warehousing Methodologies
Familiarise yourself with Kimball and Inmon methodologies, as well as the differences between star and snowflake schemas. Be prepared to discuss how you've applied these concepts in your previous roles.
✨Collaboration is Key
Since this role involves working closely with stakeholders and BI teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you gather technical requirements effectively.