At a Glance
- Tasks: Lead a team to build innovative data solutions and support business strategies.
- Company: Fast-growing tech consultancy with a focus on cutting-edge data engineering.
- Benefits: Competitive salary, bonuses, excellent benefits, and career development opportunities.
- Other info: Join a collaborative team in Newcastle upon Tyne with exciting projects ahead.
- Why this job: Make a real impact by designing scalable data architectures in a dynamic environment.
- Qualifications: Experience in Python, SQL, and data-intensive applications; strong problem-solving skills.
The predicted salary is between 80000 - 130000 £ per year.
Lead Data Engineer - Python/SQL/Spark/Databricks is required by a highly successful and fast-growing technology consultancy. As a Lead Data Engineer, you'll be part of a team building innovative products. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You're also an effective communicator and a strong team player. Together with your team, you'll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.
Your role: As a Lead Data Engineer you will lead and manage a small team, working closely with the business to understand and define their data needs, ensuring that data capabilities support the business strategy. You will play a key part in the continuing development and support of their data platform.
Preferred skills:
- Designing and building data-intensive applications and pipelines
- One or more programming languages, typically Python and SQL
- Some or all of the following:
- Distributed computing frameworks such as Spark or Databricks
- Cloud platforms such as AWS, Azure or GCP
- Orchestration tools such as Airflow
- Test, troubleshoot and improve data products, ensuring reliability and quality
You will have an academic record of achievement, minimum 2.1 from a top tier university. Excellent training and career development opportunities exist for the right candidate. Based in Newcastle upon Tyne. Basic salary £80-130,000 + bonus + excellent benefits.
Lead Data Engineer in Sunderland employer: Tech 4
Join a dynamic and innovative technology consultancy in Newcastle upon Tyne, where as a Lead Data Engineer, you will not only lead a talented team but also have access to exceptional training and career development opportunities. Our collaborative work culture fosters creativity and problem-solving, ensuring that you can thrive while delivering impactful data solutions. With a competitive salary and comprehensive benefits package, this is an excellent opportunity for those seeking meaningful and rewarding employment in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Sunderland
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to referrals or insider info about job openings that aren't advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, Spark, or 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 brushing up on your problem-solving skills. Be ready to discuss how you've designed scalable architectures or tackled data challenges in the past. We want to see your thought process in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Lead Data Engineer in Sunderland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any relevant frameworks like Spark or Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Engineer position. Share specific examples of how you've led teams and tackled data challenges in the past.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've designed scalable and resilient architectures. We love seeing how you approach problem-solving, so include any relevant projects that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Tech 4
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Spark, and Databricks. Brush up on your knowledge of distributed computing frameworks and cloud platforms like AWS or Azure. Being able to discuss specific projects where you've used these technologies will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you designed scalable architectures or improved data products. This will demonstrate your ability to think critically and innovate, which is crucial for a Lead Data Engineer.
✨Communicate Effectively
As an effective communicator, you’ll need to explain technical concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely. You might even want to prepare a few scenarios where you successfully collaborated with team members or other departments to meet business needs.
✨Understand the Business Context
Research the company’s business model and how their data strategy aligns with it. Be ready to discuss how you can help define and support their data needs. Showing that you understand the bigger picture will set you apart as a candidate who can lead a team effectively.
