At a Glance
- Tasks: Lead technical projects using Azure Data Factory, Databricks, SQL, and Python.
- Company: Join HCLTech, a global leader in technology with a people-first culture.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge tech.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make an impact by designing scalable data solutions and mentoring junior team members.
- Qualifications: Proficiency in Azure tools, SQL, Oracle PL/SQL, and Python required.
The predicted salary is between 56700 - 69300 £ per year.
The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python.
The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.
Key Responsibilities
- Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
- Design and develop efficient and reliable etl processes for large datasets.
- Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
- Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
- Implement best practices for data security, governance, and compliance.
- Provide technical guidance, mentoring, and support to junior team members.
- Stay uptodate with the latest trends and technologies in data engineering and analytics.
- Skill Requirements
- 1. Proficiency in azure data factory (adf) and azure databricks for data integration and processing.
- 2. Strong skills in writing complex sql queries for data manipulation and analysis.
- 3. Experience with oracle pl/sql for database development and management.
- 4. Proficient in python programming language for automation and scripting tasks.
- 5. Solid understanding of data warehousing concepts, etl processes, and data modeling.
- 6. Ability to work in a fast paced environment and manage multiple priorities effectively.
- 7. Excellent problem-solving skills and attention to detail.
- 8. Strong communication and interpersonal skills for effective collaboration with team members and stakeholders.
- Other Requirements
- 1. Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.
At HCLTech, you'll supercharge your potential.
You'll find your career.
And you'll find your spark.
All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.
We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.
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Azure Senior Data Lead in London employer: HCL Technologies Limited
As a Track Lead in MDM Intune, you will join a forward-thinking organisation that prioritises employee growth and development, offering access to higher education programmes and skills resources. Our collaborative work culture fosters innovation and ensures that your contributions directly enhance the stability and security of our endpoint ecosystem, impacting nearly all users across the enterprise. With generous personal time off and family benefits, we are committed to supporting a balanced and fulfilling work-life experience.
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We think you need these skills to ace Azure Senior Data Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HCL Technologies Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HCL Technologies Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
