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- Tasks: Transform business architecture into data architecture and manage data pipelines.
- Company: Leading global design company in Barlaston with a focus on innovation.
- Benefits: Competitive compensation and a supportive work environment for professional growth.
- Why this job: Join a dynamic team and make a real impact in data and analytics.
- Qualifications: Five years of experience in ETL systems, data modeling, and familiarity with Machine Learning Operations.
- Other info: Great opportunity for career advancement in a collaborative setting.
The predicted salary is between 60000 - 80000 £ per year.
A leading global design company in Barlaston is seeking a Senior Data Engineer to transform business architecture into data architecture.
Responsibilities include managing data pipelines and collaborating with stakeholders.
Candidates should have at least five years of experience in ETL systems and data modeling, along with familiarity in Machine Learning Operations.
This role offers competitive compensation and a supportive work environment focused on professional growth.
Senior Data Engineer, Data & Analytics (ML Ops) in Barlaston employer: Fiskars Group
Contact Detail:
Fiskars Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Data & Analytics (ML Ops) in Barlaston
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies like the one in Barlaston. A personal referral can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL systems and data modelling projects. This will give potential employers a clear view of what you can bring to the table, especially in ML Ops.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've transformed business architecture into data architecture in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our supportive work environment focused on professional growth.
We think you need these skills to ace Senior Data Engineer, Data & Analytics (ML Ops) in Barlaston
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ETL systems and data modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 team. We love seeing enthusiasm and a bit of personality!
Showcase Your ML Ops Knowledge: Since familiarity with Machine Learning Operations is key for this role, make sure to mention any relevant experience or projects. We’re keen to see how you can bridge the gap between data architecture and ML!
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 Fiskars Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture and ETL systems. Brush up on your experience with data pipelines and be ready to discuss specific projects where you’ve transformed business needs into data solutions.
✨Showcase Your ML Ops Knowledge
Since familiarity with Machine Learning Operations is key, prepare to talk about any ML projects you've worked on. Highlight how you’ve integrated ML models into data pipelines and the impact it had on the business.
✨Collaborate Like a Pro
This role involves working closely with stakeholders, so be prepared to share examples of how you’ve successfully collaborated in the past. Discuss your communication strategies and how you ensure everyone is on the same page.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy and how they envision the role evolving. This shows your genuine interest and helps you assess if it’s the right fit for you.