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- Tasks: Lead the development of Quantexa solutions and design robust data pipelines.
- Company: A top professional services firm in the UK with a focus on innovation.
- Benefits: Flexible work arrangements, competitive salary, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge data technology.
- Qualifications: Hands-on experience with data ingestion, transformation, and modelling.
- Other info: Collaborate with architects and clients in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading professional services firm in the UK is seeking a Senior Data Engineer to lead the technical development of Quantexa-based solutions. This role requires hands-on experience with data ingestion, transformation, and contextual data modelling. The successful candidate will work closely with architects and clients to design and implement robust data pipelines and integrate Quantexa into enterprise architectures. Competitive flexibility in work arrangements including office and remote options will be supported.
Senior Data Engineer: Quantexa Pipelines (Remote) in Manchester employer: Career Choices Dewis Gyrfa Ltd
Contact Detail:
Career Choices Dewis Gyrfa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Quantexa Pipelines (Remote) in Manchester
✨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. A friendly chat can lead to referrals that might just land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Quantexa or similar technologies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Senior Data Engineer position. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer: Quantexa Pipelines (Remote) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with data ingestion and transformation. We want to see how your skills align with the Quantexa-based solutions we’re developing, so don’t hold back on showcasing relevant projects!
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 candidates who can connect their experience with our mission.
Showcase Your Technical Skills: In your application, be sure to mention any specific tools or technologies you’ve worked with that relate to data pipelines and contextual data modelling. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at Career Choices Dewis Gyrfa Ltd
✨Know Your Quantexa Inside Out
Make sure you brush up on your knowledge of Quantexa and its functionalities. Be prepared to discuss how you've used it in past projects, especially focusing on data ingestion and transformation techniques.
✨Showcase Your Data Pipeline Skills
Prepare examples of robust data pipelines you've designed or implemented. Highlight your experience with contextual data modelling and how it has benefited previous projects. This will demonstrate your hands-on expertise.
✨Collaborate Like a Pro
Since this role involves working closely with architects and clients, be ready to discuss your collaboration skills. Share specific instances where you successfully worked in a team to deliver a project, emphasising communication and problem-solving.
✨Flexibility is Key
With the competitive flexibility in work arrangements, be open about your preferences for remote or office work. Show that you're adaptable and can thrive in different environments, which is crucial for a Senior Data Engineer role.
