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- Tasks: Design and build innovative data pipelines using cutting-edge Azure technologies.
- Company: Fractal, a strategic AI partner to Fortune 500 companies, recognised as a Great Place to Work.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a visionary team that empowers imagination with intelligence and drives impactful decisions.
- Qualifications: Experience in data engineering and proficiency in Azure Data Platform tools.
- Other info: Dynamic work environment with a focus on creativity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Location: London
Core Technical Responsibilities
- Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse)
- Be hands-on in development, debugging, optimization, and production support of data pipelines
- Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability
- Implement data modeling, transformation, and orchestration patterns aligned with best practices
- Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning
- Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs
Data Architect in England employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your hands-on experience with tools like PySpark and Azure Data Platform, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨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 genuinely interested in joining our mission at Fractal.
We think you need these skills to ace Data Architect in England
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data architecture shine through! We want to see that you truly believe in the power of data and how it can drive decisions. Share your experiences and what excites you about working with Azure Data Engineering.
Tailor Your CV: Make sure your CV is tailored to the role of Data Architect. Highlight your experience with PySpark, Databricks, and the Azure Data Platform. We love seeing specific examples of how you've designed and built data pipelines, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and make sure to highlight your key achievements in data engineering without rambling on.
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 us you’re keen to join our team at Fractal!
How to prepare for a job interview at Fractal
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PySpark, Databricks, and Azure Data Platform. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This could involve debugging a complex pipeline or optimising performance. Companies love to see how you think on your feet!
✨Understand the Company Culture
Fractal values imagination and intelligence, so be ready to discuss how you embody these traits. Think about how your personal values align with their mission and be prepared to express that during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they measure success in data engineering. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
