At a Glance
- Tasks: Lead technical teams and implement data solutions using Snowflake, Azure Data Factory, and Data Bricks.
- Company: Join HCL, a global tech leader with a rich history and innovative culture.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Other info: Be part of a collaborative team that values learning and innovation.
- Why this job: Make an impact in data analytics while leading cutting-edge projects in a dynamic environment.
- Qualifications: Proficiency in Snowflake, Azure Data Factory, and Data Bricks; strong leadership and problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
HCL is a $11 billion leading global technology enterprise consisting of over 200,000 professionals operating from 52 countries. Founded in 1976, HCL is one of India's original IT garage start-ups. For more on HCL, please visit www.hcl.com.
Job Role: Senior Technical Lead
Work Location: City of London, UK
Duration: Permanent Position
Job Description: The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance.
Key Responsibilities:
- Lead and manage technical teams, providing guidance and support in the implementation of Snowflake, Azure Data Factory (ADF), and Data Bricks projects.
- Design, develop, and maintain data pipelines using Snowflake, Azure Data Factory (ADF), and Data Bricks to support business requirements.
- Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data-driven solutions.
- Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
- Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
- Collaborate with cross-functional teams to integrate data solutions with existing systems and applications.
- Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
Skill Requirements:
- Proficiency in Snowflake, including data modeling, querying, and performance optimization.
- Strong experience in Azure Data Factory (ADF) for data integration and orchestration.
- Hands-on knowledge of Data Bricks for data engineering, data processing, and machine learning.
- Ability to design, develop, and optimize complex data pipelines for ETL processes.
- Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
- Excellent communication skills to interact with technical and non-technical stakeholders effectively.
- Strong leadership skills to guide and motivate technical teams towards project delivery and success.
- Experience in agile methodologies and project management practices for efficient project execution.
Must Have Skills: Snowflake
Other Requirements: Relevant certifications in Snowflake, Azure Data Factory (ADF), and Data Bricks are a plus.
Lead Data Analyst in London employer: HCLTech
HCL is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Lead Data Analyst role in the vibrant City of London. With a commitment to employee growth, HCL offers extensive training opportunities and encourages collaboration across diverse teams, ensuring that every professional can thrive and contribute to cutting-edge data solutions. The company's global presence and strong emphasis on technology make it a unique place to build a rewarding career in the ever-evolving IT landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst 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 at HCL. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with Snowflake, Azure Data Factory, and Data Bricks. Use real examples to demonstrate how you've tackled challenges and delivered results.
✨Prepare for the Interview
Do your homework on HCL and the role of Senior Technical Lead. Be ready to discuss how you can lead teams and optimise data pipelines. Practise common interview questions and think about how your skills align with their needs.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at HCL.
We think you need these skills to ace Lead Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with Snowflake, Azure Data Factory, and Data Bricks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can lead technical teams effectively. We love seeing enthusiasm and a personal touch.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled challenges in data management. We’re keen on candidates who can demonstrate strong problem-solving abilities.
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’s super easy!
How to prepare for a job interview at HCLTech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, Azure Data Factory, and Data Bricks. Brush up on your data modelling and performance optimisation skills, as you’ll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Leadership Skills
Since this role involves leading technical teams, be prepared to discuss your leadership experiences. Share specific examples of how you've guided teams through challenges and delivered successful projects, highlighting your ability to motivate and mentor others.
✨Prepare for Problem-Solving Questions
Expect questions that test your troubleshooting abilities. Think of past scenarios where you’ve resolved data pipeline issues or optimised processes, and be ready to explain your thought process and the outcomes.
✨Communicate Effectively
You’ll need to interact with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. This will show your communication skills and your ability to bridge the gap between different teams.
