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- Tasks: Lead the transformation of data systems into a GCP-based analytics platform.
- Company: Established industry player with a focus on innovation and creativity.
- Benefits: Accelerated career progression, expert training, and a hybrid work environment.
- Why this job: Make a significant impact in the evolving data landscape with cutting-edge technology.
- Qualifications: Experience in data engineering and a passion for AI/ML integration.
- Other info: Join a dynamic team that values problem-solving and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
An established industry player is seeking a Data Lead to spearhead the data engineering capability. This pivotal role focuses on transforming the existing data warehouse into a GCP-based analytics platform, integrating APIs, and preparing for AI/ML adoption.
The ideal candidate will:
- Design scalable data pipelines
- Collaborate with data scientists
- Ensure data security
- Stay updated on industry trends
Join a dynamic team that fosters creativity and problem-solving, offering accelerated career progression and expert training in a hybrid work environment. This is an exciting opportunity for those looking to make a significant impact in the data landscape.
Data Engineering Lead - Hybrid, GCP & AI/ML Readiness in Altrincham employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead - Hybrid, GCP & AI/ML Readiness in Altrincham
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineering Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any GCP projects you've worked on. This gives us a tangible way to see your expertise in action, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI/ML trends and data security practices. We want to see that you’re not just a tech whiz, but also someone who stays ahead of the curve in this fast-paced industry.
✨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 seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineering Lead - Hybrid, GCP & AI/ML Readiness in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineering Lead role. Highlight your experience with GCP, data pipelines, and any AI/ML projects you've worked on. We want to see how you can make an impact!
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 makes you the perfect fit for our team. Don’t forget to mention your enthusiasm for working in a hybrid environment.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, be sure to include them. We love seeing real-world applications of your skills, especially those involving scalable data solutions and API integrations.
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 shows you’re keen on joining our dynamic team!
How to prepare for a job interview at Robert Walters UK
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Understand how to leverage GCP for data warehousing and analytics, as well as the specific tools and services that can help in building scalable data pipelines.
✨Showcase Your AI/ML Readiness
Be prepared to discuss your experience with AI and machine learning. Highlight any projects where you've integrated these technologies into data solutions, and be ready to share your thoughts on future trends in this area.
✨Collaboration is Key
Since this role involves working closely with data scientists, come equipped with examples of how you've successfully collaborated in the past. Discuss your approach to teamwork and problem-solving, especially in a hybrid work environment.
✨Stay Updated on Industry Trends
Demonstrate your passion for the data landscape by discussing recent trends or innovations in data engineering. This shows that you're not just qualified but also genuinely interested in the field and eager to contribute to the company's success.
