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- Tasks: Build and maintain data pipelines while optimising architectures for reliable data access.
- Company: Dynamic tech and data solutions company based in Crawley.
- Benefits: Flexible working, competitive salary, bonus schemes, and personal growth opportunities.
- Why this job: Join a cutting-edge team and make an impact in the oil and gas sector.
- Qualifications: Experience with Python, SQL, and data transformations in scientific domains.
- Other info: Exciting role with opportunities for career advancement in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A technology and data solutions company in Crawley is seeking a Data Engineer to develop and maintain data integrations. The role involves building robust data pipelines, optimizing architectures, and collaborating with data analysts and scientists to ensure access to reliable data.
Candidates should have experience with Python, SQL, and data transformations in scientific domains, particularly oil and gas.
This position offers flexible working arrangements, a competitive salary, and various benefits, including bonus schemes and opportunities for personal growth.
Hybrid Data Engineer: Scalable Pipelines & ML-Driven in Crawley employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Scalable Pipelines & ML-Driven in Crawley
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data engineering. Attend meetups or webinars related to data solutions and don’t be shy to ask for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This is your chance to demonstrate your ability to build robust data pipelines and optimised architectures.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data transformation techniques. Be ready to discuss your experience in scientific domains, particularly oil and gas, as this will set you apart from other candidates.
✨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 Hybrid Data Engineer: Scalable Pipelines & ML-Driven in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data transformations. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or 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 your background in scientific domains, especially oil and gas, makes you a perfect fit for us.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in building data pipelines or optimising architectures. We love seeing candidates who can think critically and come up with innovative solutions!
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 from our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your data transformation techniques, especially in scientific domains like oil and gas, so you can confidently discuss your experience during the interview.
✨Showcase Your Pipeline Skills
Be prepared to talk about your experience building and optimising data pipelines. Have specific examples ready that demonstrate how you've tackled challenges in previous projects, particularly those that required collaboration with data analysts and scientists.
✨Understand the Company’s Needs
Research the technology and data solutions company thoroughly. Understand their focus areas and how your skills can contribute to their goals. This will help you tailor your answers and show that you’re genuinely interested in the position.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about their current data projects or the tools they use for data integration. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
