Head of Data Engineering

Head of Data Engineering

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to design and implement data solutions on Azure.
  • Company: Join a forward-thinking company at the forefront of data engineering.
  • Benefits: Attractive salary, flexible working hours, and opportunities for growth.
  • Why this job: Shape the future of data engineering and drive impactful projects.
  • Qualifications: Proven experience in data engineering and leadership skills.
  • Other info: Exciting challenges in a fast-paced environment with room for innovation.

The predicted salary is between 43200 - 72000 £ per year.

Head of Data Engineering – Azure

Head of Data Engineering employer: Tenth Revolution Group

As a leading innovator in the tech industry, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to excel. Located in a vibrant city, we offer competitive benefits, continuous professional development opportunities, and a commitment to work-life balance, making us an exceptional employer for those seeking to make a meaningful impact in data engineering.
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Contact Detail:

Tenth Revolution Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data Engineering

✨Tip Number 1

Network like a pro! Reach out to folks in the data engineering space, especially those working with Azure. A friendly chat can open doors and give you insights that job descriptions just can't.

✨Tip Number 2

Show off your skills! When you get the chance to interview, be ready to discuss your experience with Azure and data engineering projects. Bring examples of how you've tackled challenges and delivered results.

✨Tip Number 3

Stay updated on industry trends! Follow blogs, podcasts, and forums related to data engineering and Azure. This knowledge will not only impress interviewers but also help you engage in meaningful conversations.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it makes the process smoother for everyone involved.

We think you need these skills to ace Head of Data Engineering

Data Engineering
Azure
Cloud Computing
Data Architecture
ETL Processes
Big Data Technologies
Data Warehousing
Team Leadership
Agile Methodologies
Data Governance
Collaboration Skills
Problem-Solving Skills
Communication Skills
Technical Strategy

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Head of Data Engineering role. Highlight your experience with Azure and data engineering projects, showcasing how your skills align with what we’re looking for.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how your background makes you the perfect fit for our team at StudySmarter.

Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you’ve made an impact in previous roles, especially in data engineering and Azure environments.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!

How to prepare for a job interview at Tenth Revolution Group

✨Know Your Azure Inside Out

Make sure you’re well-versed in Azure’s data engineering tools and services. Brush up on Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Being able to discuss how you've used these tools in past projects will show your expertise.

✨Showcase Leadership Experience

As a Head of Data Engineering, leadership is key. Prepare examples of how you've led teams, managed projects, or mentored junior engineers. Highlighting your ability to inspire and guide others will resonate well with interviewers.

✨Prepare for Technical Questions

Expect some technical questions that test your knowledge of data architecture and engineering principles. Review common data modelling techniques and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.

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