Lead Data Engineer β€” Azure Data & AI Pipelines in Warwick

Lead Data Engineer β€” Azure Data & AI Pipelines in Warwick

Warwick Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Create data pipelines and dashboards using Azure and Snowflake to drive insights.
  • Company: Join National Grid, a leader in energy innovation and sustainability.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on data quality and governance.
  • Why this job: Make a real difference by transforming business challenges into data-driven solutions.
  • Qualifications: Experience in data engineering and a passion for cloud technologies.

The predicted salary is between 63000 - 77000 Β£ per year.

National Grid is seeking an Associate Data Developer in Warwick.

The role operates in a hybrid model and focuses on delivering actionable insight across the data lifecycle, from ETL development to dashboards, using cloud platforms such as Azure and Snowflake.

The successful candidate will collaborate with stakeholders to translate business challenges into data-driven solutions, implement CI/CD pipelines, and ensure data quality and governance across pipelines and AI-enabled workflows.

Lead Data Engineer β€” Azure Data & AI Pipelines in Warwick employer: National Grid plc

National Grid plc is an exceptional employer located in the heart of Warwick, offering a dynamic work culture that fosters innovation and collaboration. As a Transformation Portfolio Analyst, you will have access to extensive employee growth opportunities, including professional development and training in cutting-edge tools like Power BI and Excel. Join us to be part of a team that values your insights and contributions towards shaping the future of the UK's critical infrastructure.

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Contact Details:

National Grid plc Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Lead Data Engineer β€” Azure Data & AI Pipelines in Warwick

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When you find a suitable opening like Lead Data Engineer β€” Azure Data & AI Pipelines at National Grid plc, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Engineer β€” Azure Data & AI Pipelines in Warwick

Python
Communication Skills
Data Engineering
SQL
Problem-Solving Skills
ETL/ELT Processes
Data Warehousing

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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Craft a Tailored Cover Letter:For a full-time role at National Grid plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at National Grid plc. 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!

How to prepare for a job interview at National Grid plc

✨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 National Grid plc!

✨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.