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- Tasks: Build scalable data pipelines and orchestrate complex data transformations.
- Company: Advanced tech firm in Crawley with a supportive culture.
- Benefits: Competitive salary, flexible working arrangements, and great perks.
- Why this job: Join a dynamic team and make an impact on innovative data solutions.
- Qualifications: Experience in data integrations, strong Python and SQL skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 30000 - 42000 £ per year.
An advanced technology firm in Crawley is looking for a Data Engineer to enhance their software solutions for complex data transformation tasks. You will develop integrations, maintain data infrastructures, and work collaboratively in a supportive environment.
Suitable candidates should have significant experience with data integrations, strong coding skills in Python and SQL, and familiarity with ETL tools like Airflow.
This role offers competitive salary benefits and flexible working arrangements.
Data Engineer: Scalable Pipelines & Data Orchestration in Crawley employer: Viridiengroup
Contact Detail:
Viridiengroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scalable Pipelines & Data Orchestration in Crawley
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and ETL tools like Airflow. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and coding challenges. Practise explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer: Scalable Pipelines & Data Orchestration in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data integrations and coding skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your skills can enhance our software solutions. Keep it engaging and personal – we love to see your personality!
Showcase Your ETL Knowledge: Since familiarity with ETL tools like Airflow is key for this role, make sure to mention any relevant experience you have. If you've worked on similar projects, share those details to demonstrate your expertise!
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, it’s super easy!
How to prepare for a job interview at Viridiengroup
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any ETL tools like Airflow. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex data transformation tasks you've tackled in the past. Think of examples where you developed integrations or maintained data infrastructures. Highlight your thought process and how you overcame challenges, as this will demonstrate your analytical abilities.
✨Collaborative Mindset
Since the role involves working in a supportive environment, be ready to talk about your experience collaborating with others. Share examples of how you’ve worked in teams, communicated effectively, and contributed to group success. This will show that you’re a team player who fits well into their culture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategies, the tech stack they use, or their approach to data orchestration. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
