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- Tasks: Enhance data pipelines and reporting capabilities with real-time and batch ETL processes.
- Company: A growing data and insights business in Manchester, focused on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data accuracy and performance.
- Why this job: Join a forward-thinking team and make an impact with data-driven insights.
- Qualifications: Strong experience in Python, SQL, and hands-on with Apache Spark.
The predicted salary is between 40000 - 50000 £ per year.
A growing data and insights business in Manchester is seeking a skilled Data Engineer to enhance their data pipelines and reporting capabilities. In this hybrid position, you will work on real-time and batch ETL pipelines, ensuring data accuracy and performance while collaborating with engineering teams.
The ideal candidate has strong experience in Python and SQL, as well as hands-on experience with Apache Spark. Join a forward-thinking company that values data-driven insights and innovation.
Data Engineer: Real-Time Pipelines, Hybrid + On-Call in Manchester employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Real-Time Pipelines, Hybrid + On-Call in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. 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 projects, especially those involving Python, SQL, and Apache Spark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL pipeline knowledge. Practice coding challenges related to data manipulation and real-time processing. We all know that confidence is key when it comes to landing that dream job!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer: Real-Time Pipelines, Hybrid + On-Call in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and Apache Spark in your application. We want to see how your skills align with the role of a Data Engineer, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this position. Mention specific projects or experiences that relate to real-time and batch ETL pipelines, as this will show us you’re a perfect fit.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re the right candidate!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SearchWorks
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and Apache Spark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and technical prowess.
✨Understand Real-Time Pipelines
Since the role focuses on real-time ETL pipelines, take some time to understand the principles behind them. Be prepared to explain how you would ensure data accuracy and performance in a real-time environment, as this will demonstrate your understanding of the job's core responsibilities.
✨Collaboration is Key
This position involves working closely with engineering teams, so think about examples from your past where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success, as this will resonate well with the company's values.
✨Show Your Passion for Data
The company values data-driven insights and innovation, so be sure to express your enthusiasm for data engineering. Share any personal projects or initiatives you've undertaken that showcase your commitment to staying ahead in the field, as this will help you stand out as a candidate.