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- Tasks: Build and maintain data pipelines while optimising our data platform for performance.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by solving complex data challenges and enhancing data accuracy.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
- Other info: Dynamic team environment with a focus on learning new technologies.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Build and maintain robust data pipelines processing large volumes of data.
- Update and optimize our data platform for speed, scalability, and cost.
- Coordinate with different functional teams to understand and meet their data needs.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Solve general data-related problems.
Requirements:
- Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments).
- Strong problem-solving skills.
- Advanced proficiency with SQL.
- Proficiency with Python.
- Experience with cloud platforms (e.g., Google Cloud, AWS, Azure).
- Experience using version control tools such as git.
- Excellent written and verbal communication skills.
- A drive to learn and master new technologies and techniques.
- A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.
Experience with the following would be a plus:
- Data governance.
- Building and deploying machine learning models.
- Terraform or other infrastructure as code tools.
Senior Data Engineer employer: Moniepoint Group
Contact Detail:
Moniepoint Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨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 hunt for a new role. 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, projects, and any cool stuff you've built with SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world data challenges and explain your thought process. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, especially those 5+ years. We want to see how your skills in SQL and Python shine through, so don’t hold back on showcasing your accomplishments!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the role. Share specific examples of how you've built and maintained data pipelines or optimised data platforms. Let your personality come through!
Show Off Your Problem-Solving Skills: We love a good problem solver! In your application, mention instances where you've tackled data-related challenges. This will help us see your analytical mindset and how you approach complex issues.
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 us during the process!
How to prepare for a job interview at Moniepoint Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the data pipelines and platforms you’ve worked with. Be ready to discuss specific projects where you built or optimised data pipelines, and how you tackled challenges along the way.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've solved complex data-related problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your strong problem-solving abilities.
✨Brush Up on Your Tech Stack
Since the role requires proficiency in SQL and Python, be prepared to answer technical questions or even solve coding challenges on the spot. Familiarise yourself with the latest features and best practices in these languages.
✨Communicate Clearly and Confidently
As you'll be coordinating with different teams, excellent communication is key. Practice explaining complex technical concepts in simple terms, and be ready to discuss how you’ve collaborated with non-technical stakeholders in the past.