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For Companies At a Glance
- Tasks: Design and maintain data pipelines using SQL, Python, and R for analytics.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Why this job: Make an impact by transforming data into insights that drive decisions.
- Qualifications: Strong SQL skills and experience with Python; knowledge of R is a plus.
- Other info: Dynamic team environment with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A Data Engineer is required to support the development and improvement of data pipelines within a Microsoft-based analytics environment. The role focuses on ingesting, transforming, and standardising data from multiple sources to enable reliable reporting and analytics.
Key Technical Responsibilities
- Design, build, and maintain data pipelines using SQL, Python, and R
- Ingest and transform structured and semi-structured data within Microsoft Fabric
- Improve data quality, performance, and reliability across existing pipelines
- Prepare analytics-ready datasets optimised for Power BI consumption
- Apply data modelling and transformation best practices
- Identify and resolve data inconsistencies, missing data, and schema issues
- Maintain documentation aligned to data governance standards
Technical Requirements
- Strong SQL for data transformation and modelling
- Python experience for data processing and automation
- Working knowledge of R in a data or analytics context
- Hands-on experience with Microsoft Fabric or closely related Microsoft data platforms
- Understanding of how engineered data supports Power BI reporting
- Experience working with incomplete, inconsistent, or poorly structured data
Desirable
- Experience in regulated or data-intensive environments
- Exposure to cloud-based Microsoft data technologies
Data Engineer in City of London employer: MLM Search Ltd
Contact Detail:
MLM Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Engineers on LinkedIn. 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, SQL queries, and any projects you've done with Python or R. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining how you've tackled data inconsistencies or improved pipeline performance in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and R. We want to see how you've designed and maintained data pipelines, so don’t hold back on those details!
Showcase Your Projects: If you've worked on any relevant projects, especially involving Microsoft Fabric or Power BI, include them! We love seeing practical examples of your skills in action.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications!
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’re considered for the role!
How to prepare for a job interview at MLM Search Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and R skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and analytics. Practising coding challenges can also help you feel more confident.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data inconsistencies or schema issues in previous roles. Companies love candidates who can demonstrate their ability to identify problems and implement effective solutions, so have a few stories ready that highlight your analytical thinking.
✨Understand Microsoft Fabric
Since this role involves working with Microsoft Fabric, make sure you understand its features and capabilities. Familiarise yourself with how it integrates with Power BI and be prepared to discuss how you would use it to improve data quality and performance in your projects.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current data challenges, how they measure success in data engineering, or what tools they use for data governance. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
