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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 working hours, and opportunities for skill development.
- Why this job: Make an impact by transforming data into valuable insights for decision-making.
- Qualifications: Strong SQL skills and experience with Python; knowledge of R is a plus.
- Other info: Dynamic team environment with potential for career advancement in data engineering.
The predicted salary is between 28800 - 48000 £ 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 employer: MLM Search Ltd
Contact Detail:
MLM Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Engineers. 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. Be ready to discuss your experience with Microsoft Fabric, data transformation, and how you've tackled data quality issues in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come in directly, and it helps us keep track of all the amazing talent out there. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer
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 projects involving Microsoft Fabric or Power BI, let us know! Share specific examples of how you ingested and transformed data to improve reporting and analytics.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see your skills and experience.
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 Data Engineer 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.
✨Familiarise Yourself with Microsoft Fabric
Since the role involves working within a Microsoft-based analytics environment, it’s crucial to understand Microsoft Fabric. Dive into its features and functionalities, and think about how you would use it to ingest and transform data. Being able to discuss specific use cases will impress your interviewers.
✨Prepare for Data Quality Questions
Expect questions around improving data quality and resolving inconsistencies. Think of examples from your experience where you identified and fixed data issues. Highlight your problem-solving skills and your approach to maintaining data governance standards.
✨Showcase Your Analytical Mindset
The role is all about preparing analytics-ready datasets, so be prepared to talk about your experience with data modelling and transformation best practices. Discuss how you’ve optimised datasets for tools like Power BI, and be ready to share insights on how engineered data supports reporting.
