Lead Data Engineer

Lead Data Engineer

Full-Time 48000 - 72000 £ / year (est.)
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At a Glance

  • Tasks: Lead data strategy and design solutions for a growing FTSE-listed company.
  • Company: Join a small, impressive organization on its exciting data journey.
  • Benefits: Enjoy a generous package, hybrid work, private medical, and 28 days holiday.
  • Why this job: Be a data visionary and partner in shaping strategic goals with impactful solutions.
  • Qualifications: Expertise in T-SQL, ETL, Azure Data Factory, and experience leading small teams required.
  • Other info: Work in modern offices with an onsite gym and a collaborative culture.

The predicted salary is between 48000 - 72000 £ per year.

Are you ready to lead data strategy in a small organisation fairly early in its data journey?

I’m working exclusively with a small, impressive FTSE-listed company. I am helping them source a talented Data Engineer to lead their data strategy.

They describe this role as a proactive business partner and data visionary who designs solutions to support the Group’s strategic and operational goals.

Experience or ready to lead small data/tech teams

Experience in smaller organisations, earlier in their data journey

Expert in T-SQL, proficiency in query optimisation

Dimensional models

Designing, building and maintaining data warehouses

Expert in ETL and tooling, especially Azure Data Factory

On-prem and cloud data architecture (ideally Azure)

Power BI Dashboards for various audiences, including heads of departments and C-level executives

DAX and, in particular, time intelligence functions On offer is a generous package, potentially worth up to over £80k. This includes bonus, study costs and leave, generous pension, 28 days holiday, private medical and permanent health cover, onsite gym and more!

It’s a hybrid role, 4 days/week in state-of-the-art, modern offices in zone 1 and a day/week at home.

Lead Data Engineer employer: Vauxhall

Join a dynamic and innovative FTSE-listed company that values your expertise as a Lead Data Engineer. With a generous compensation package exceeding £80k, including bonuses, study support, and a robust benefits plan, you will thrive in a supportive work culture that prioritizes employee growth and well-being. Enjoy the flexibility of a hybrid work model in modern offices located in zone 1, where you can make a significant impact on the company's data strategy while collaborating with talented professionals.
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Contact Detail:

Vauxhall Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

✨Tip Number 1

Familiarize yourself with the specific data tools and technologies mentioned in the job description, especially Azure Data Factory and T-SQL. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your readiness to lead their data strategy.

✨Tip Number 2

Prepare examples of how you've successfully led small data teams or projects in previous roles. Highlight your ability to be a proactive business partner and how your contributions have aligned with strategic goals in smaller organizations.

✨Tip Number 3

Since this role involves creating Power BI dashboards for various audiences, brush up on your dashboard design skills. Be ready to discuss how you can tailor visualizations to meet the needs of different stakeholders, including C-level executives.

✨Tip Number 4

Research the company’s current data journey and think about how you can contribute to their growth. Showing that you understand their challenges and have ideas for solutions will set you apart as a candidate who is genuinely interested in the role.

We think you need these skills to ace Lead Data Engineer

Data Strategy Development
Team Leadership
T-SQL Expertise
Query Optimization
Dimensional Modeling
Data Warehouse Design and Maintenance
ETL Processes and Tooling
Azure Data Factory Proficiency
On-Prem and Cloud Data Architecture
Power BI Dashboard Creation
DAX Proficiency
Time Intelligence Functions
Business Partnership
Analytical Thinking
Communication Skills

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Highlight the key responsibilities and required skills, such as T-SQL expertise and experience with Azure Data Factory, to tailor your application accordingly.

Showcase Relevant Experience: In your CV and cover letter, emphasize your experience in leading data teams and working in smaller organizations. Provide specific examples of how you've designed solutions that align with strategic goals, particularly in data warehousing and ETL processes.

Highlight Technical Skills: Clearly outline your technical skills related to the role, such as proficiency in query optimization, dimensional modeling, and Power BI dashboard creation. Mention any relevant projects where you utilized these skills, especially those involving time intelligence functions in DAX.

Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your passion for data strategy and your vision for the role. Discuss how your background aligns with the company's goals and how you can contribute to their data journey as a proactive business partner.

How to prepare for a job interview at Vauxhall

✨Show Your Leadership Skills

As a Lead Data Engineer, you'll be expected to lead small teams. Be prepared to discuss your previous experiences in leading data or tech teams, and how you can inspire and guide others in their data journey.

✨Demonstrate Your Technical Expertise

Make sure to highlight your proficiency in T-SQL, ETL processes, and Azure Data Factory. Prepare examples of how you've optimized queries and designed data warehouses in the past.

✨Understand Business Needs

This role requires a proactive business partner. Be ready to explain how you've aligned data strategies with business goals in previous roles, and how you can do the same for this company.

✨Prepare for Technical Questions

Expect questions about dimensional models, cloud architecture, and Power BI dashboards. Brush up on DAX functions, especially time intelligence, and be ready to discuss how you've used these tools to create impactful data solutions.

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