Data Engineering Lead

Data Engineering Lead

Full-Time 57000 - 95000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team in shaping data engineering and automation solutions.
  • Company: Forward-thinking professional services organisation expanding its Data & Innovation capabilities.
  • Benefits: Up to £95,000 salary, 25 days leave, private healthcare, and lifestyle perks.
  • Why this job: Make a real impact by guiding innovative data solutions and mentoring talent.
  • Qualifications: Strong data engineering experience with Azure tech stack and leadership skills.
  • Other info: Dynamic role with opportunities for strategic input and career growth.

The predicted salary is between 57000 - 95000 £ per year.

Overview

Data Engineering Lead

I am working with a forward-thinking professional services organisation that is expanding its Data & Innovation capabilities and looking for a Data Engineering Lead to join their team. This is a fantastic opportunity to take on a hands-on leadership role where you will guide a small team of technical specialists while shaping the future of data engineering, automation, and systems development across the business.

You\’ll be at the heart of strategic technical delivery, blending architectural oversight with hands-on execution, and mentoring others to build scalable, modern solutions using technologies like Databricks and the Azure tech stack.

Responsibilities

  • Provide technical leadership to a small team focusing on data engineering and development
  • Define and maintain scalable internal data and systems architecture aligned with business needs
  • Lead the design and delivery of complex engineering solutions, ensuring best practices
  • Guide the team on prioritised initiatives, ensuring timely and high-quality delivery
  • Deliver hands-on technical change and development where required

Skills & Experience Required

  • Strong Data Engineering experience
  • Hands-on expertise with the Azure tech stack (Synapse, Data Factory, Data Lake Storage) and Databricks
  • Proven ability to lead and mentor technical teams in agile environments
  • Ability to work closely with other leaders across the business and have input into strategy planning sessions focusing on technical execution

Benefits

  • Salary of up to £95,000 per year
  • 25 days annual leave, plus bank holidays
  • Private healthcare schemes and life insurance policies
  • Enhanced parental leave policies
  • Lifestyle benefits such as cycle to work schemes, retail discounts and vehicle salary sacrifice schemes

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Data Engineering Lead employer: Tenth Revolution Group

Join a forward-thinking professional services organisation that prioritises innovation and employee growth. As a Data Engineering Lead, you'll benefit from a competitive salary, generous annual leave, and comprehensive healthcare schemes, all while working in a collaborative environment that encourages mentorship and technical excellence. This role not only offers the chance to shape the future of data engineering but also provides unique lifestyle benefits that enhance work-life balance.
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Contact Detail:

Tenth Revolution Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Lead

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those using Azure and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common technical questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Engineering Lead

Data Engineering
Azure Tech Stack
Databricks
Technical Leadership
Mentoring
Agile Methodologies
Systems Architecture
Complex Engineering Solutions
Strategic Planning
Hands-on Technical Development
Collaboration
Best Practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with the Azure tech stack and any leadership roles you've had. We want to see 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 explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.

Showcase Your Technical Skills: Don’t forget to showcase your hands-on expertise with tools like Databricks and Azure services. We love seeing real examples of how you've used these technologies to solve problems or lead projects in your previous roles.

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. Plus, we love seeing candidates who take the initiative!

How to prepare for a job interview at Tenth Revolution Group

✨Know Your Tech Stack

Make sure you’re well-versed in the Azure tech stack and Databricks. Brush up on your knowledge of Synapse, Data Factory, and Data Lake Storage. Being able to discuss these technologies confidently will show that you’re not just a leader but also a hands-on expert.

✨Showcase Your Leadership Skills

Prepare examples of how you've successfully led and mentored teams in the past. Think about specific challenges you faced and how you guided your team through them. This will demonstrate your ability to provide technical leadership and foster a collaborative environment.

✨Understand the Business Needs

Research the company’s goals and how their data engineering initiatives align with their overall strategy. Be ready to discuss how you can contribute to shaping their data architecture to meet business needs. This shows that you’re not just focused on tech but also on delivering value.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems or lead discussions on prioritised initiatives. Practice articulating your thought process clearly and concisely. This will help you demonstrate your strategic thinking and problem-solving skills during the interview.

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