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- Tasks: Build and maintain data pipelines while optimising our data platform for performance.
- Company: Join a forward-thinking tech company focused on data innovation.
- 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: Collaborative environment with a focus on learning new technologies.
The predicted salary is between 60000 - 80000 ÂŁ 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 problemâsolving 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 in London employer: Moniepoint Group
Contact Detail:
Moniepoint Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Engineer in London
â¨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 put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any cool stuff you've built. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
â¨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with cloud platforms and version control tools. We want you to feel confident and ready to impress!
â¨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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application đŤĄ
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 donât hold back on showcasing your accomplishments!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why youâre 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 thought process and how you approach complex issues.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at Moniepoint Group
â¨Know Your Data Inside Out
Make sure youâre well-versed in the data pipelines and platforms youâve worked with. Be ready to discuss specific projects where you built or optimised data pipelines, and how you tackled challenges along the way.
â¨Show Off Your Problem-Solving Skills
Prepare examples that highlight your strong problem-solving abilities. Think of situations where you had to troubleshoot data issues or improve performance, and be ready to explain your thought process and the outcomes.
â¨Brush Up on Your Tech Stack
Since the role requires proficiency in SQL and Python, make sure you can demonstrate your skills in these areas. Consider doing a quick coding challenge or reviewing common SQL queries to refresh your memory before the interview.
â¨Communicate Clearly and Confidently
As excellent communication skills are a must, practice explaining complex data concepts in simple terms. This will show that you can coordinate effectively with different teams and understand their data needs.