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- Tasks: Build and optimise data pipelines using cutting-edge tools like Databricks and PySpark.
- Company: Dynamic consultancy firm transforming brands through data and design thinking.
- Benefits: Competitive pay, remote work, and potential for contract extension.
- Why this job: Join a fast-paced team and make an impact on exciting data projects.
- Qualifications: Experience with Databricks, strong Python and SQL skills required.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 30000 - 42000 £ per year.
Data Engineer (Consultant / Senior Consultant)
£60,000-£75,000 + Benefits
London, Manchester, Birmingham Locations Available
Looking for your next challenge in Data Engineering ? We’re seeking talented professionals to help businesses unlock the power of their data using cutting-edge technologies.
- ???? Are you passionate about Azure-based data solutions ?
- ???? Do you have expertise in SQL, Python, and modern data platforms ?
- ???? Want to work on high-impact projects with leading organizations?
- ???? What You’ll Do :
- ? Design and deliver data solutions using Fabric, Azure Data Factory, and Synapse
- ? Work with SQL, Python, Spark, Kafka, Snowflake , and more
- ? Apply best practices in Data Architecture, Governance, and Engineering
- ? Collaborate with clients to drive real business impact
- ? Be part of a supportive, high-performing team
- ???? What We’re Looking For :
- ?? Strong data engineering experience in Azure
- ?? Hands-on expertise in SQL, Python , and data pipeline development
- ?? Familiarity with Agile, DevOps, Git, APIs, and Cloud Data Platforms
- ?? A team player with problem-solving skills and a consulting mindset
- ???? Bonus : DP-203 or Fabric Analytics certifications are a plus!
Apply today or DM us to learn more!
#DataEngineer #Hiring #Azure #SQL #Python #DataJobs
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Data Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions 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 your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and SQL. 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 common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or troubleshooting issues, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you an edge. 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 is tailored to the Data Engineer role. Highlight your experience with Databricks, PySpark, and SQL, as these are key skills we’re looking for. Don’t just list your responsibilities; show us how you’ve made an impact in previous roles!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this contract position. Mention specific projects where you’ve built or optimised data pipelines, and how you thrive in fast-paced environments like ours.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention how you’ve tackled challenges in data engineering. We love self-starters who can adapt quickly, so share examples of how you’ve resolved data issues or improved pipeline performance 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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, PySpark, and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these technologies. Being able to share concrete examples will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled data pipeline issues in the past. Think of specific challenges you faced, how you approached them, and what the outcomes were. This will demonstrate your ability to troubleshoot and optimise data processes effectively.
✨Communicate Clearly
Since you'll be liaising with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you stand out as someone who can bridge the gap between teams and ensure everyone is on the same page.
✨Be Ready for Scenario Questions
Expect questions that put you in hypothetical situations related to data quality, monitoring, or error-handling. Prepare by thinking through how you would handle data drift or schema changes, and be ready to articulate your thought process clearly.
