At a Glance
- Tasks: Build and maintain data pipelines while developing real-time integrations.
- Company: Leading tech firm in Manchester with a focus on data engineering.
- Benefits: Up to £60,000 salary, bonus scheme, hybrid work, and career progression.
- Other info: No CV needed to apply; great growth opportunities await!
- Why this job: Join a team shaping data solutions for millions of users with cutting-edge tech.
- Qualifications: Experience in data engineering, AWS, and Python preferred.
The predicted salary is between 45000 - 60000 £ per year.
One of the North West's most recognisable technology businesses is continuing to invest heavily in its Data Engineering capability and modern cloud data platform. They're looking for a Data Engineer to join the team and help build scalable data solutions across a modern AWS environment. This is an opportunity to work on a platform used by millions of customers, whilst gaining exposure to technologies including AWS, PySpark, Iceberg, Redshift, Glue and Lambda. The role sits within a growing team and has a clear progression path into a Senior Data Engineer position as the platform and function continue to scale.
What you'll be doing
- Building and maintaining data pipelines
- Developing real-time data integrations
- Supporting the migration from SQL Server to AWS
- Improving automation, performance and data quality
- Working with modern Lakehouse and Data Warehouse architectures
- Collaborating with Data Scientists, Analysts and Engineering teams
Tech Stack
- AWS (Glue, Lambda, S3, Redshift, EMR)
- Python
- SQL
- PySpark
- Apache Iceberg
- Redshift
What's on offer
- £45,000 - £60,000 base salary - solid salary for a mid-level data engineer role in Manchester.
- Bonus Scheme
- Clear progression into a Senior Data Engineer role
- Hybrid working from Manchester City Centre
- Opportunity to work on large-scale data platforms serving millions of users
No up-to-date CV required. We can cross that bridge later.
Data Engineer (AWS) in Warrington employer: Tact
Join one of the North West's leading technology firms as a Data Engineer in Manchester City Centre, where you'll be part of a dynamic team dedicated to building innovative data solutions. With a competitive salary, a bonus scheme, and a clear path for career progression into a Senior Data Engineer role, this company fosters a collaborative work culture that values employee growth and development. Enjoy the benefits of hybrid working while contributing to a platform that impacts millions of users.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend local tech meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. We want to see how you tackle real-world problems with AWS and PySpark.
✨Tip Number 3
Prepare for technical challenges! Brush up on your data pipeline building and real-time integration skills. We recommend practicing common interview questions related to AWS and data engineering to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed. We’re always on the lookout for passionate Data Engineers ready to take on exciting challenges in a hybrid working environment.
We think you need these skills to ace Data Engineer (AWS) in Warrington
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AWS, PySpark, and any other relevant tech in your application. We want to see how you can contribute to our data engineering team!
Tailor Your Application:Don’t just send a generic application! Take a moment to customise your CV and cover letter to reflect the specific requirements of the Data Engineer role. It shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your achievements and experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Tact
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially AWS services like Glue, Lambda, and Redshift. Brush up on your PySpark and SQL skills too, as you might be asked to solve problems or discuss your experience with these tools during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or maintained data pipelines. Highlight any real-time data integrations you've worked on and how you improved automation or data quality. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Company’s Goals
Research the company and its data engineering initiatives. Knowing their focus on building scalable data solutions and modern cloud platforms will help you align your answers with their goals, showing that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the challenges they face with their current data architecture, or how they measure success in this role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
