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For Companies At a Glance
- Tasks: Build a cloud data platform and automate data processes using AWS.
- Company: Join Portwest, a global leader in safety wear and workwear.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Make an impact by working with data that drives business decisions.
- Qualifications: Degree in STEM or related field; experience with SQL and Python.
- Other info: Great workplace culture with recognition for sustainability and innovation.
The predicted salary is between 30000 - 42000 £ per year.
About Portwest
Portwest is a leading global manufacturer of safety wear, workwear and PPE, founded in 1904, employing over 5,100 staff worldwide.
Job Summary
We are seeking a Data Engineer with 1–3+ years of experience to help build our foundational cloud data platform. The role focuses on building a central data store in AWS, automating data ingestion from APIs and internal sources, and ensuring analysts have access to clean, well‑structured datasets. The position is based near Manchester, hybrid with one day in office and four days remote.
Key Responsibilities
- Assist in setting up, maintaining, and documenting the core serverless data environment using Amazon S3, AWS Glue Data Catalogue, and Amazon Athena.
- Develop and schedule Python‑based processes to automatically pull and update data from key sources, including Amazon Vendor/Seller sales data, inventory & pricing data, high‑volume clicks and page views, and general online scraping data.
- Ingest and integrate internal data from SharePoint and OneDrive into S3, creating a unified source of truth.
- Use Python and SQL to clean and structure raw data into analytics‑ready tables; implement data quality checks and monitoring.
- Produce and document reusable, well‑structured tables optimized for downstream BI consumption.
- Provide inter‑office travel using a personal vehicle; travel to Thurnscoe warehouse 1–2 times per month.
Requirements
- Degree in a STEM, Computer Science, or related discipline (or equivalent experience).
- Hands‑on experience with SQL for querying and data manipulation.
- Working knowledge of Python for automation or data handling (pandas, basic API calls).
- Basic understanding of AWS (or transferable cloud concepts).
- Analytical mindset and strong written/verbal communication skills.
- Experience with S3, Athena, or Glue.
- Experience automating data pulls from APIs.
- Exposure to marketplace/eCommerce metrics (Buy Box, COGS, Conversion).
- Exposure to Alteryx or advanced Power Query for ETL workflows.
Company Awards
- Great Place To Work 2024
- Private Irish Business of the Year – Export Industry Awards 2025
- Silver Ecovadis Sustainability Rating 2025
Applicants must have a right to live and work in the relevant jurisdiction. Portwest is an equal opportunity employer. All applicants will be considered for employment without attention to age, gender, race, religion, sexual orientation, civil status, veteran status, family status, disability status or membership of a minority group.
Junior Data Engineer New Greater Manchester, United Kingdom employer: Portwest LLC
Contact Detail:
Portwest LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer New Greater Manchester, United Kingdom
✨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 Python, SQL, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice coding challenges and be ready to discuss your past experiences with data handling and automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Engineer New Greater Manchester, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Engineer role. Highlight your experience with SQL, Python, and AWS, as these are key for us. We want to see how your skills match 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 team. Keep it concise but engaging – we love a good story!
Showcase Relevant Projects: If you've worked on any projects that involved data manipulation or cloud technologies, make sure to mention them. We want to see your hands-on experience, so don’t hold back on the details!
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’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at Portwest LLC
✨Know Your Tech
Make sure you brush up on your knowledge of AWS, Python, and SQL. Be ready to discuss how you've used these tools in past projects or coursework. Portwest will be looking for practical examples, so think about specific challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you approach data-related problems. Think of a time when you had to clean or structure messy data. Highlight your analytical mindset and how you ensure data quality, as this is crucial for the role.
✨Understand the Company and Its Needs
Do some research on Portwest and their products. Understanding their focus on safety wear and workwear can help you tailor your answers to show how your skills can directly benefit their data needs. Mention any relevant experience with eCommerce metrics if you have it!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data projects or how they envision the data team evolving. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.