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- Tasks: Lead innovative data engineering projects and solve complex business challenges.
- Company: Fractal is a strategic AI partner for Fortune 500 companies, fostering creativity and diversity.
- Benefits: Enjoy hybrid work, competitive salary, and recognition as a Great Place to Work.
- Why this job: Join a forward-thinking team that values imagination and intelligence in decision-making.
- Qualifications: 15+ years in tech, strong Azure expertise, and a passion for data solutions required.
- Other info: Opportunity to work globally and influence large-scale technology projects.
The predicted salary is between 60000 - 84000 £ per year.
Job title – Lead Data Engineer – Azure
Location – London, UK
Mode – Hybrid 3 days/week onsite
Type – Permanent
Job Description:
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.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Location: London
If you are an extraordinary developer who loves to push boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Lead Architect (Azure), you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building, and maintaining technology services.
Responsibilities:
- Be an integral part of large-scale client business development and delivery engagements.
- Develop the software and systems needed for end-to-end execution on large projects.
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions.
- Build the knowledge base required to deliver increasingly complex technology projects.
Qualifications & Experience:
- A bachelor\’s degree in Computer Science or related field with more than 15 years of technology experience.
- Strong experience in System Integration, Application Development, or Data-Warehouse projects, across enterprise technologies.
- Software development experience using object-oriented languages (e.g., Python, PySpark) and frameworks.
- Stakeholder Management skills.
- Expertise in relational and dimensional modelling, including big data technologies.
- Exposure to all SDLC processes, including testing and deployment.
- Expertise in Microsoft Azure is mandatory, including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service, etc.
- Good knowledge of Python and Spark.
- Experience in ETL & ELT processes.
- Understanding of scripting languages.
- Knowledge of enabling analytics using cloud technology and ML Ops.
- Experience with Azure Infrastructure and Azure DevOps is a strong plus.
- Proven ability to keep technical skills current and contribute to deep architecture discussions in Azure cloud systems.
- Forward thinker and self-starter characteristics.
- Ability to work with a global team across multiple projects.
- Skills in designing application architectures, integration approaches, and launching cloud-based systems.
- Passion for educating, training, and building end-to-end systems for diverse customers.
- Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.
Skills:
- Data Ops, ML Ops
- Deep expertise in Azure Databricks, ETL frameworks
- Expertise in Microsoft Azure components as listed above
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Lead Data Engineer - Azure employer: E-Solutions
Contact Detail:
E-Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Azure
✨Tip Number 1
Familiarise yourself with the specific Azure components mentioned in the job description, such as Azure Data Factory and Azure Databricks. Having hands-on experience or projects that showcase your skills with these tools can set you apart during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure technologies. Attend meetups, webinars, or online forums to connect with others and gain insights into the latest trends and challenges in the industry.
✨Tip Number 3
Prepare to discuss your experience with large-scale projects and how you've applied software engineering principles in real-world scenarios. Be ready to share specific examples that demonstrate your problem-solving abilities and innovative thinking.
✨Tip Number 4
Showcase your stakeholder management skills by preparing examples of how you've successfully collaborated with diverse teams. Highlight your ability to communicate complex technical concepts to non-technical stakeholders, which is crucial for a lead role.
We think you need these skills to ace Lead Data Engineer - Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure and relevant technologies mentioned in the job description. Emphasise your skills in data engineering, system integration, and software development using object-oriented languages like Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to solve complex business problems. Mention specific projects where you've successfully implemented Azure solutions and how they align with Fractal's vision.
Highlight Relevant Experience: In your application, focus on your 15+ years of technology experience, particularly in data warehousing and application development. Provide examples of your work with ETL & ELT processes and your expertise in big data technologies.
Showcase Soft Skills: Fractal values stakeholder management and teamwork. Include examples of how you've effectively collaborated with global teams and managed stakeholders in previous roles, demonstrating your ability to work across multiple projects.
How to prepare for a job interview at E-Solutions
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Microsoft Azure and the specific components mentioned in the job description, such as Azure Data Factory and Azure Databricks. Be prepared to discuss your previous projects and how you applied your technical skills to solve complex problems.
✨Demonstrate Stakeholder Management Skills
Fractal values strong stakeholder management abilities. Prepare examples of how you've successfully collaborated with various stakeholders in past projects, focusing on communication and relationship-building skills that led to successful outcomes.
✨Prepare for Architecture Discussions
Given the role's emphasis on architecture, be ready to engage in deep discussions about system design and integration approaches. Brush up on your knowledge of application architectures and be prepared to share your thought process on designing scalable solutions.
✨Emphasise Your Passion for Learning
Fractal is looking for forward thinkers and self-starters. Share your experiences of keeping your technical skills current and any initiatives you've taken to educate others or improve processes. This will demonstrate your commitment to personal and professional growth.
