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- Tasks: Build and improve data pipelines using Python, SQL, and AWS.
- Company: Growing tech business in Manchester with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and referral bonuses.
- Why this job: Solve real-world data problems and shape innovative data solutions.
- Qualifications: Experience in data engineering, strong Python and SQL skills.
- Other info: Opportunity to work with big data technologies and excellent career growth.
The predicted salary is between 28800 - 43200 £ per year.
If you enjoy solving messy data problems and turning them into clean, reliable pipelines, this could be worth a look.
We're working with a growing tech business in Manchester that builds large scale data platforms used by major global organisations. Their product is built around real world data and analytics, and they're expanding the engineering team that keeps everything running smoothly behind the scenes.
They're now looking for a Data Engineer to help develop and support the data pipelines that power customer reporting and analytics. You'll be working with large datasets, building ETL processes, improving performance, and generally making sure the data is accurate, reliable and scalable.
It's a collaborative environment where engineers are trusted to solve problems, suggest improvements, and get involved in shaping how the platform evolves.
What you'll be doing
- Building and improving data pipelines, working with both batch and real time processing across large datasets.
- Writing and improving ETL jobs.
- Working with Python and SQL to process and transform data.
- Investigating and fixing tricky data issues.
- Improving pipeline performance and reliability.
- Collaborating with product and engineering teams to turn requirements into working data solutions.
- Reviewing code and sharing knowledge across the team.
- Supporting production systems when needed.
The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies.
What they're hoping you'll bring
- Experience working as a Data Engineer or in a similar data focused role.
- Strong Python and SQL skills.
- Experience working with cloud platforms (AWS or similar).
- Confidence working with large datasets and complex data problems.
- An interest in improving pipelines, tooling and processes.
- A collaborative approach and willingness to share ideas.
- Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential.
The setup
The team works on a hybrid basis from Manchester, usually spending two days a week in the office and the rest wherever you're most productive. There's also a shared on call rota once you're settled in, with additional compensation for this.
Data Engineer - Manchester (Hybrid) employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Manchester (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, and ETL processes. This gives you a chance to demonstrate your problem-solving abilities and technical know-how beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice explaining your thought process when tackling data issues, as this will show your collaborative approach and problem-solving mindset.
✨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, it shows you’re genuinely interested in joining the team and contributing to their exciting projects.
We think you need these skills to ace Data Engineer - Manchester (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, SQL, and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm and a bit of personality in your application.
Showcase Problem-Solving Skills: Since we’re all about solving messy data problems, include examples of how you've tackled tricky data issues in the past. This will help us see your thought process and approach to challenges.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at Circle Group
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially SQL, Python, and AWS. Brush up on your ETL processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled messy data problems before. Think about specific instances where you improved pipeline performance or resolved tricky data issues, as this will demonstrate your hands-on experience.
✨Collaborate and Communicate
Since the role involves working closely with product and engineering teams, be ready to discuss how you’ve collaborated in the past. Highlight your ability to share ideas and contribute to team discussions, as this is key in a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.