At a Glance
- Tasks: Build innovative data products and design scalable architectures with your team.
- Company: Fast-growing tech consultancy known for its dynamic environment.
- 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 team that thrives on innovation and delivers exciting projects.
- Qualifications: Experience in Python, SQL, and data-intensive applications required.
The predicted salary is between 70000 - 100000 £ per year.
Data Engineer - Python / SQL / Spark / Databricks is required by a highly successful and fast-growing technology consultancy. As a 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.
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 at a top tier university. Excellent training and career development opportunities exist for the right candidate. Based in Newcastle upon Tyne. Basic salary £70-100,000 + bonus + excellent benefits.
Data Engineer employer: Tech4
Join a dynamic and innovative technology consultancy in Newcastle upon Tyne, where as a Data Engineer, you will be part of a collaborative team dedicated to building cutting-edge products. With a strong emphasis on employee growth, you will benefit from excellent training and career development opportunities, alongside a competitive salary and comprehensive benefits package, making this an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers or tech consultants on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in their company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, Spark, or Databricks. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. Plus, it’s a great way to get noticed directly by our hiring team.
We think you need these skills to ace 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, 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 passionate about data engineering and how you can contribute to our innovative projects. Keep it concise but impactful – we love a good story!
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems or designed scalable architectures. We’re looking for those who can think on their feet and deliver outstanding results in a fast-paced environment.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Tech4
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any distributed computing frameworks like Spark or Databricks. Brush up on your knowledge of cloud platforms such as AWS, Azure, or GCP, as these are likely to come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've designed scalable and resilient architectures. Think about challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities and technical expertise.
✨Communicate Effectively
As a Data Engineer, being an effective communicator is key. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members. This will show that you can bridge the gap between tech and business.
✨Team Player Mindset
Be ready to discuss your experiences working in teams. Highlight how you’ve contributed to group projects and how you handle feedback. Companies value candidates who can thrive in a fast-paced environment and work well with others.
