Lead Data Engineer - Python/SQL/Spark/Databricks

Lead Data Engineer - Python/SQL/Spark/Databricks

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Tech4 Limited

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, flexible working options, and opportunities for professional growth.
  • Other info: Join a collaborative team and thrive in a fast-paced engineering culture.
  • Why this job: Make a real impact by leading exciting projects in a dynamic environment.
  • Qualifications: Experience in Python, SQL, and data-intensive applications; strong problem-solving skills.

The predicted salary is between 70000 - 90000 £ per year.

Lead Data Engineer 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.

Lead Data Engineer - Python/SQL/Spark/Databricks employer: Tech4 Limited

Join a dynamic and innovative technology consultancy in Newcastle upon Tyne, where as a Data Engineer, you'll be empowered to work on cutting-edge projects that challenge your skills and creativity. With a strong emphasis on employee growth, the company offers excellent training and career development opportunities, alongside a collaborative work culture that values effective communication and teamwork. Enjoy a competitive salary package, including bonuses and comprehensive benefits, while contributing to impactful solutions in a fast-paced environment.

Tech4 Limited

Contact Details:

Tech4 Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer - Python/SQL/Spark/Databricks

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 that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and Spark. 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!

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 about their job search.

We think you need these skills to ace Lead Data Engineer - Python/SQL/Spark/Databricks

Python
SQL
Spark
Databricks
Problem-Solving Skills
Data Architecture Design
Distributed Computing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant frameworks like Spark or Databricks. We want to see how your skills align with what we're looking for!

Showcase Your Projects:Include specific examples of data-intensive applications or pipelines you've designed. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and the impact they had!

Communicate Clearly:As an effective communicator, it’s important to convey your ideas clearly in your application. Use straightforward language and structure your thoughts logically. We appreciate clarity and coherence in your writing!

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’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Tech4 Limited

Know Your Tech Stack

Make sure you brush up on Python, SQL, Spark, and Databricks before the interview. Be ready to discuss your experience with these technologies and how you've used them to solve real-world problems. This will show that you're not just familiar with the tools, but that you can apply them effectively.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in previous roles and how you overcame them. Highlight your ability to design scalable and resilient architectures, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Communicate Clearly

As a Lead Data Engineer, you'll need to communicate complex ideas to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact they had on the business. This will demonstrate your effectiveness as a communicator and team player.

Understand the Business Needs

Research the company and its data strategy before the interview. Be prepared to discuss how you would align data capabilities with their business goals. Showing that you understand their needs and can contribute to their strategy will set you apart from other candidates.