Data Engineering Lead

Data Engineering Lead

London Full-Time 60000 - 84000 £ / year (est.)
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At a Glance

  • Tasks: Lead data engineering projects and partner with stakeholders for digital transformation.
  • Company: Join a forward-thinking company focused on strategic operational goals across Europe.
  • Benefits: Enjoy a hybrid work model, generous salary, bonus, and perks like an onsite gym.
  • Why this job: Be part of a dynamic team shaping the future of data solutions in a modern office.
  • Qualifications: Expertise in T-SQL, ETL processes, Azure Data Factory, and Power BI required.
  • Other info: This role is based in Vauxhall, offering a state-of-the-art workspace.

The predicted salary is between 60000 - 84000 £ per year.

Are you a data visionary? Someone who can proactively partner with the business to design solutions to support their strategic and operational goals?

You will work with stakeholders across Europe and support them in their strategic digital transformation. This involves business analysis, project management, and systems implementation.

Essential skills:

Expert in T-SQL with proficiency in query optimisation

Designing and implementing dimensional models

Designing, building and maintaining data warehouses

Expert in ETL processes and tooling, in particular Azure Data Factory

Working with on-prem Azure cloud architecture

Creating Power BI dashboards

Proficiency in DAX, particularly with time management functions

Developing self-service reporting

Efficient handling and analysis of datasets, including estimation techniques

Computing degree

Hybrid role based 4 days a week in a state-of-the-art, modern office in Vauxhall (with an onsite gym) and 1 day at home A package of over £75k includes a bonus, study costs and leave, hybrid (1 day/week at home, generous pension, 28 days holiday, private medical and permanent health cover, onsite gym and more!

This is a popular opportunity, so if your skills and experience fit, apply with an up-to-date CV ASAP.

Data Engineering Lead employer: VC Talent

Join a forward-thinking company that values innovation and collaboration, where as a Data Engineering Lead, you will play a pivotal role in driving digital transformation across Europe. Enjoy a hybrid work model with 4 days in our modern Vauxhall office, complete with an onsite gym, and 1 day at home, alongside a competitive package exceeding £75k, generous holiday, and opportunities for professional development. Our supportive work culture fosters growth and encourages you to leverage your expertise in T-SQL and data warehousing to make a meaningful impact.
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Contact Detail:

VC Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Lead

✨Tip Number 1

Familiarize yourself with the latest trends in data engineering, especially around Azure Data Factory and ETL processes. Being able to discuss recent advancements or case studies during your interview can really set you apart.

✨Tip Number 2

Network with professionals in the data engineering field, particularly those who have experience with T-SQL and Power BI. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals.

✨Tip Number 3

Prepare to showcase your problem-solving skills by thinking of specific examples where you've successfully implemented data solutions. Be ready to explain your thought process and the impact of your work on business goals.

✨Tip Number 4

Since this role involves collaboration across Europe, brush up on your communication skills and be prepared to discuss how you would manage projects with diverse teams. Highlight any previous experience working in a hybrid or international environment.

We think you need these skills to ace Data Engineering Lead

T-SQL Expertise
Query Optimisation
Dimensional Model Design
Data Warehouse Development
ETL Processes and Tooling
Azure Data Factory Proficiency
On-Prem Azure Cloud Architecture
Power BI Dashboard Creation
DAX Proficiency
Time Management Functions in DAX
Self-Service Reporting Development
Data Handling and Analysis
Estimation Techniques
Business Analysis
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your expertise in T-SQL, ETL processes, and Azure Data Factory. Include specific examples of projects where you've designed data warehouses or created Power BI dashboards.

Craft a Compelling Cover Letter: In your cover letter, emphasize your ability to partner with stakeholders and support digital transformation initiatives. Mention your experience in business analysis and project management to showcase your strategic mindset.

Showcase Technical Skills: Clearly outline your technical skills related to data engineering, such as proficiency in DAX and dimensional modeling. Provide examples of how you've efficiently handled and analyzed datasets in previous roles.

Highlight Relevant Experience: Discuss your experience working in hybrid roles and your ability to collaborate with teams across Europe. Mention any relevant certifications or degrees that support your qualifications for the position.

How to prepare for a job interview at VC Talent

✨Showcase Your Data Vision

Be prepared to discuss your vision for data engineering and how it aligns with the strategic goals of the business. Think about examples where you've successfully partnered with stakeholders to drive digital transformation.

✨Demonstrate Technical Expertise

Since the role requires proficiency in T-SQL and ETL processes, be ready to dive deep into your technical skills. Prepare to discuss specific projects where you optimized queries or implemented data warehouses using Azure Data Factory.

✨Highlight Your Project Management Skills

This position involves project management, so share experiences where you've led projects from conception to implementation. Discuss your approach to managing timelines, resources, and stakeholder expectations.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving abilities. Think about how you would handle challenges related to data analysis, reporting, or system implementation, especially in a hybrid work environment.

Data Engineering Lead
VC Talent Apply now
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