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: Based in Newcastle upon Tyne with a vibrant work culture.
- Why this job: Join a dynamic team and make a real impact in the data engineering field.
- 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 employer: Tech 4
Join a dynamic and innovative technology consultancy in Newcastle upon Tyne, where as a Lead Data Engineer, you will be at the forefront of building cutting-edge data solutions. The company fosters a collaborative work culture that prioritises employee growth through excellent training and career development opportunities, alongside a competitive salary and benefits package. With a focus on teamwork and problem-solving, this is an ideal environment for those looking to make a meaningful impact in a fast-paced engineering landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, Spark, or Databricks. This is your chance to demonstrate your problem-solving abilities and innovative thinking to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would design scalable architectures or troubleshoot data pipelines. Practising these scenarios will help you communicate your expertise effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer
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 of Lead Data Engineer, so don’t hold back on showcasing your achievements!
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. We love seeing candidates who can communicate their ideas clearly and effectively.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems or designed scalable architectures. We’re looking for someone who thrives in fast-paced environments, so let us know how you’ve delivered outstanding results in the past!
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. Plus, we love seeing applications come through our own channels!
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 your experience with these technologies confidently will show that you're the right fit for the role.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed scalable architectures or improved data pipelines. This will demonstrate your problem-solving abilities and your hands-on experience in a fast-paced environment.
✨Communicate Effectively
As a Lead Data Engineer, you'll need to work closely with both technical and non-technical teams. Practice explaining complex concepts in simple terms. This will not only highlight your communication skills but also your ability to collaborate effectively within a team.
✨Understand Business Needs
Research the company’s business model and think about how data can support their strategy. Be ready to discuss how you would approach understanding and defining data needs for the business. This shows that you’re not just a techie but also someone who can align data capabilities with business goals.
