At a Glance
- Tasks: Lead technical teams and implement data solutions using Snowflake, Azure Data Factory, and Databricks.
- Company: Join HCL, a global tech leader with a rich history and innovative culture.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a collaborative culture that values learning and innovation.
- Why this job: Make an impact in data management while leading a dynamic team in a cutting-edge environment.
- Qualifications: Proficiency in Snowflake, Azure Data Factory, and Databricks; strong leadership and problem-solving skills.
The predicted salary is between 70000 - 90000 £ 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.
Work Location – City of London, UK
Duration - Permanent Position
Hybrid - 3 days onsite and 2 days remote
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.
- 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.
- Azure Databricks
- Azure Data Factory (ADF)
- Snowflake
- Data Modelling
- Relevant certifications in Snowflake, Azure Data Factory (ADF), Data Bricks are a plus.
Data Team Lead in London employer: HCLTech
HCL is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a hybrid work environment in the vibrant City of London. With a strong emphasis on professional development, HCL provides ample opportunities for growth and innovation, allowing team members to lead cutting-edge projects in data management while collaborating with diverse, cross-functional teams. Joining HCL means being part of a global technology leader that values creativity, teamwork, and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work at HCL or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your experience with Snowflake, Azure Data Factory, and Databricks. This will give you an edge during interviews and show that you're ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data management and analytics. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨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 proactive about their job search!
We think you need these skills to ace Data Team Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Team Lead role. Highlight your experience with Snowflake, Azure Data Factory, and Databricks. 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 the perfect fit for the role and how you can lead our technical teams. Keep it engaging and relevant to the job description.
Showcase Your Leadership Skills:Since this role involves leading teams, make sure to highlight your leadership experience. Share examples of how you've guided teams in the past and the impact it had on project success. We love seeing that!
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 see what you bring to the table!
How to prepare for a job interview at HCLTech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Snowflake, Azure Data Factory, and Databricks. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data Team Lead, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided teams in the past, focusing on your communication style and how you foster collaboration.
✨Understand the Business Needs
HCL is looking for someone who can align data solutions with business requirements. Familiarise yourself with common industry challenges and think about how your skills can address these. Be ready to propose data-driven solutions during the interview.
✨Stay Current with Trends
The tech world moves fast, especially in data management. Make sure you're up-to-date with the latest trends and best practices in data analytics. Mention any recent developments or tools you've explored that could benefit HCL's projects.
