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For Companies At a Glance
- Tasks: Solve real-world data problems and build scalable solutions across various platforms.
- Company: Well-established business driving digital transformation.
- Benefits: Competitive salary, pension, healthcare, gym membership, and 25 days holiday.
- Why this job: Join a fast-paced environment and make an impact with data-driven projects.
- Qualifications: Experience with Python, SQL, cloud infrastructure, and data pipelines.
- Other info: Hybrid working model with excellent career growth and professional development opportunities.
The predicted salary is between 55000 - 65000 £ per year.
Are you a Data Engineer who loves solving real-world data problems and building scalable solutions from the ground up? We’re supporting a well-established business in the digital transformation space, and they’re looking for someone to help drive data platform development across multiple business areas and tech environments.
The role:
- You’ll work closely with technical and non-technical teams, owning data pipelines, improving performance, and getting involved in projects that span cloud, automation, and AI-readiness.
- This role is perfect for someone who enjoys building and optimising data workflows, thrives in a fast-moving environment, and wants to work across a variety of platforms and challenges.
What you'll need:
- Solid hands-on experience with Python and SQL.
- Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools.
- Familiarity with tools like Airflow and version control, GIT.
- Confident working with structured and unstructured datasets.
- Comfortable contributing to both technical delivery and collaborative problem-solving.
Salary and Benefits:
This role is paying a salary of £55,000-£65,000 per annum with brilliant benefits including:
- Competitive pension contribution.
- Health care.
- Gym membership.
- 25 days holiday.
- Hybrid working with a modern London workplace.
- Career opportunities.
- Professional development and study support.
If this role is of interest please do apply today and we will be in touch.
Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone hiring.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your collaborative problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you who are eager to tackle real-world data challenges.
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 data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled real-world data problems. We’re looking for someone who thrives on challenges, so let us know how you’ve built scalable solutions in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands, and we can’t wait to hear from you!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built or optimised data pipelines, as well as any experience with cloud platforms like AWS and Azure.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world data problems in the past. Think about times when you collaborated with both technical and non-technical teams to deliver solutions, and be ready to share those stories.
✨Familiarise Yourself with Tools
If you’ve worked with tools like Airflow or GIT, make sure to highlight that experience. It’s a good idea to have a couple of examples ready that demonstrate how you’ve used these tools to improve workflows or manage version control.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, the tech stack they use, and how they approach data challenges. This shows your genuine interest and helps you assess if it’s the right fit for you.
