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For Companies At a Glance
- Tasks: Build and optimise data pipelines while ensuring data quality and performance.
- Company: A growing data insights business working with global brands.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career development.
- Why this job: Join a dynamic team and make an impact on data-driven solutions.
- Qualifications: Experience in Python and knowledge of ETL processes.
The predicted salary is between 40000 - 50000 £ per year.
Our client is a growing data and insights business. They are hiring a Data Engineer to join their Manchester-based team. The company works with global brands, providing data-driven insights through a large-scale, privacy-first platform. As they continue to scale, they’re looking for a Data Engineer to play a key role in building and optimising their data pipelines and reporting capabilities.
The Role
You’ll be working on a large and complex data platform, developing and maintaining both real-time and batch ETL pipelines. This is a hands-on role focused on improving data quality, scalability, and performance. You’ll collaborate closely with engineering and product teams, helping translate business requirements into robust, production-ready data solutions.
Key Responsibilities
- Build and maintain real-time and batch ETL pipelines
- Monitor and improve data pipeline performance, architecture, and tooling
- Ensure data accuracy, integrity, and scalability
- Act as a subject matter expert for data pipelines and processes
- Work closely with stakeholders to define and deliver data solutions
- Review code and provide feedback to improve team quality
- Support production systems and troubleshoot issues
- Write clean, tested, and maintainable code
Tech Stack
Python
Data Engineer employer: SearchWorks
Contact Detail:
SearchWorks 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 people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 ETL pipelines and data solutions. 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 your technical skills. Be ready to discuss your experience with Python and data pipeline optimisation. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
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 ETL pipelines, data quality, and any relevant tech stack skills like Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our client's mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience with data pipelines and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at SearchWorks
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other tools mentioned in the job description. Brush up on your ETL pipeline knowledge and be ready to discuss how you've built or optimised data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges related to data quality and performance. Think about specific instances where you improved a data process or solved a tricky issue, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Research the company and its clients to understand their data needs. Be prepared to discuss how your work as a Data Engineer can directly impact their business goals and contribute to delivering valuable insights.
✨Collaborate and Communicate
Since the role involves working closely with engineering and product teams, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your ability to bridge the gap between tech and business.