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- Tasks: Design and optimise scalable data pipelines using cutting-edge technologies.
- Company: Join a forward-thinking organisation leading in data-driven platforms.
- Benefits: Competitive salary, hybrid working model, and discretionary bonuses.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Shape the future of data analytics and make a real impact.
- Qualifications: Experience with data engineering and cloud technologies required.
The predicted salary is between 70000 - 70000 £ per year.
Salary up to £70,000 + discretionary bonus
Hybrid working model with collaborative office environment
Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS
Due to continued growth, we're seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance.
This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform.
WHAT WILL YOU BE DOING?
As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You'll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation.
Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making.
Data Engineer in Manchester employer: Searchability Ltd
Contact Detail:
Searchability Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow 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 projects, especially those involving Databricks, Spark, and Kafka. 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 data pipeline knowledge. Be ready to discuss your experience with streaming and batch data, and don’t forget to practice coding challenges related to data engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in the role and the company. Let’s get you that Data Engineer position!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Spark, and AWS, as these are key technologies we’re looking for. Show us how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to our team. Be specific about your achievements and how they relate to the job.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, streaming data, or any other relevant tech. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Searchability Ltd
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Databricks, Spark, and Kafka. Brush up on your knowledge of how these tools work together to build data pipelines, as you might be asked to discuss specific use cases or challenges you've faced.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve designed or optimised data pipelines. Be ready to explain the problems you encountered and how you solved them, especially in a real-time data context. This will demonstrate your practical experience and analytical thinking.
✨Collaborate and Communicate
Since the role involves working closely with BI, product, and engineering teams, think of examples that highlight your teamwork and communication skills. Be prepared to discuss how you’ve collaborated with others to deliver high-quality data solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data strategy, the challenges they face, or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.