At a Glance
- Tasks: Enhance data pipelines and reporting capabilities with real-time and batch ETL processes.
- Company: A forward-thinking data and insights business in Manchester.
- 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 team that values innovation and 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 employer: SearchWorks
Join a dynamic and innovative data and insights business in Manchester, where your contributions as a Data Engineer will be valued and impactful. With a strong emphasis on collaboration and professional growth, the company offers a supportive work culture that encourages continuous learning and development. Enjoy the flexibility of a hybrid work model while being part of a team that is dedicated to leveraging data for meaningful insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Real-Time Pipelines, Hybrid + On-Call
✨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, so get comfortable with the tech!
✨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 Data Engineer: Real-Time Pipelines, Hybrid + On-Call
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, 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 it shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to our team.
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 this exciting opportunity!
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 be ready to talk about your experience collaborating with others. Share examples of how you've successfully worked in a team setting to solve problems or enhance data processes.
✨Show Your Passion for Data
The company values data-driven insights and innovation, so express your enthusiasm for data engineering. Discuss any personal projects or interests related to data that showcase your commitment to staying current in the field and your eagerness to contribute to their mission.
