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For Companies At a Glance
- Tasks: Design and build data pipelines using Azure technology and Python.
- Company: Leading technology consulting firm in the UK with a focus on innovation.
- Benefits: Salary up to £60,000, bonuses, and hybrid work options.
- Why this job: Join a dynamic team and enhance your skills in data engineering.
- Qualifications: Over 3 years of experience in data engineering, Azure DevOps, and Python.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A technology consulting firm in the UK is seeking a Data Platform Engineer to design and build data pipelines using Azure technology. The role involves:
- Creating CI/CD pipelines
- Collaborating with teams to ensure data quality
- Developing internal tools with Python
Candidates should have over 3 years of data engineering experience, particularly with Azure DevOps and Python. This position offers a salary up to £60,000 plus bonuses and benefits in a hybrid work setting.
Data Platform Engineer: Azure Pipelines, APIs & Python in Bristol employer: Vocative Consulting
Contact Detail:
Vocative Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer: Azure Pipelines, APIs & Python in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 pipelines, CI/CD processes, and any Python tools you've developed. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on Azure DevOps and Python concepts, and be ready to discuss your past projects. We recommend practicing common interview questions with a friend or using mock interview platforms.
✨Tip Number 4
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 are proactive about their job search!
We think you need these skills to ace Data Platform Engineer: Azure Pipelines, APIs & Python in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure DevOps and Python. We want to see how your skills align with the role, 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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data pipelines or CI/CD projects, make sure to mention them in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
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 Vocative Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with Azure DevOps, CI/CD pipelines, and how they integrate with data engineering. Being able to discuss specific projects or experiences where you've used these tools will really impress the interviewers.
✨Show Off Your Python Skills
Since Python is a key part of the role, be prepared to talk about your experience with it. Bring examples of scripts or tools you've developed, and if possible, demonstrate your problem-solving skills through coding challenges or discussions during the interview.
✨Collaboration is Key
This role involves working closely with teams to ensure data quality. Be ready to share examples of how you've collaborated with others in past roles. Highlight any experience you have in cross-functional teams and how you’ve contributed to successful outcomes.
✨Prepare Questions That Matter
Interviews are a two-way street, so think of insightful questions to ask about the company culture, team dynamics, and the specific challenges they face in data engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
