At a Glance
- Tasks: Lead and mentor teams to develop innovative data products using modern technologies.
- 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 diverse teams and excellent career advancement opportunities.
- Why this job: Make a real impact by enabling secure and scalable access to vital data.
- Qualifications: Experience in data engineering, leadership skills, and proficiency in SQL and Python.
The predicted salary is between 63000 - 77000 £ per year.
We're seeking an experienced Lead Data Engineer who can bring both strong leadership skills and hands-on data experience to mentor, lead, and grow teams while building data products using modern technologies.
Data is one of our key assets. In a world driven by data, Data Engineers play a vital role in enabling secure, timely, scalable, and regulated access to it at an enterprise level.
In your role you'll be leading the teams producing / curating (crafting, developing, moving, redefining, testing, and maintaining) Data Products.
This enables consumers to ingest, transform, store, and analyse our data to gain insight and drive value for our customers, regulators, shareholders and colleagues.
A strong background in Data as well as Technology is a consistent characteristic of great practitioners in this role.
Day to day, you'll
- Provide management, guidance and mentorship to your engineering teams
- Design, develop, and maintain complex Data Products
- Lead implementation reviews and all aspects of data product delivery
- Evaluate and recommend tools, technologies, and processes
- Identify and implement standard methodologies for data engineering
- Have a strong understanding of data security principles and secure architectural practices
- Provide knowledge of Dev Ops practices and CI/CD pipelines
- Ensure timely delivery by leading tasks and priorities effectively
- Communicate effectively with team and stakeholders
- Accountable for custodianship governance activities on data assets
- What you'll need
- Leadership: Validated experience leading and mentoring data engineering teams
- Data Engineering: Developing data validation methodology and data hub process models
- Data Literacy: Communicating with data confidently and effectively
- Data Modelling and Design: Practice of visually representing the design of information systems
In addition, any experience of these would be useful
- Experience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services
- Experience with SQL and data warehouse technology such as Big Query
- Coding experience in any language
- Experience of line management & coaching junior engineers
- Familiarity with Dev Ops practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes)
- Familiarity with data visualisation tools such as Tableau, Power BI, or Looker
- Relevant certifications in data engineering, cloud platforms, or related areas.
Key Responsibilities
- 1. Develop and maintain complex data models using ca erwin data modeler to support business requirements.
- 2. Utilize google bigquery for data storage, querying, and analysis to ensure data accuracy and efficiency.
- 3. Implement data pipelines using google dataflow to streamline data processing and transformation tasks.
- 4. Write and optimize sql queries to extract and manipulate data for analysis purposes.
- 5. Develop and deploy python scripts for automating data related processes and tasks.
- 6. Collaborate with cross functional teams to ensure data quality, consistency, and integrity throughout the data lifecycle.
- Skill Requirements
- 1. Proficiency in google bigquery for data storage, querying, and analysis.
- 2. Strong sql skills for data manipulation and querying.
- 3. Experience with python for data processing, automation, and script development.
- 4. Knowledge of google dataflow for building and managing data pipelines.
- 5. Familiarity with ca erwin data modeler for designing and maintaining data models.
- 6. Strong analytical and problem-solving abilities.
- 7. Excellent communication and collaboration skills to work effectively with diverse teams.
- 8. Ability to prioritize tasks and work efficiently in a fast paced environment.
- Other Requirements
- 1. Relevant certifications in Google Big Query, SQL, Python, or CA Erwin Data Modeler are 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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GCP Technical Specialist 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 GCP Technical Specialist
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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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
