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 great growth potential.
- Why this job: Make a real impact in a dynamic environment while leading exciting data projects.
- Qualifications: Experience in Python, SQL, and data-intensive applications; strong problem-solving skills.
The predicted salary is between 80000 - 130000 £ per year.
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 Newcastle upon Tyne. Basic salary £80-130,000 + bonus + excellent benefits.
Lead Data Engineer employer: Tech4
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 delivering impactful projects, this is an ideal environment for those looking to make a meaningful contribution while advancing their careers.
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 in 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 will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss how you've designed scalable architectures or tackled complex data problems in the past. We want to see your problem-solving skills 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. Let’s get you on board!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your expertise in Python, SQL, and any relevant frameworks like Spark or Databricks. We want to see how you can contribute to our innovative projects!
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 your background aligns with our needs. Don’t forget to mention your problem-solving skills and team spirit – we love a good team player!
Showcase Your Projects:If you've worked on any data-intensive applications or pipelines, make sure to include them in your application. We’re interested in seeing real examples of your work and how you’ve tackled challenges in the past. It’s all about demonstrating your hands-on experience!
Apply Through Our Website:We encourage you to apply directly 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 to connect with us directly!
How to prepare for a job interview at Tech4
✨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 reliability. 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 communicate with both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how your work supported business strategies. This will highlight your ability to bridge the gap between tech and business needs.
✨Team Leadership Experience
Be ready to discuss your experience leading teams. Share how you’ve managed team dynamics, mentored junior engineers, or collaborated on projects. This will showcase your leadership skills and your ability to thrive in a team-oriented environment, which is crucial for this role.
