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- Tasks: Join a dynamic Data Team to build data pipelines and enhance cloud-based solutions.
- Company: Fast-growing e-commerce business with a focus on innovation and collaboration.
- Benefits: Competitive salary, career growth opportunities, and a chance to work with cutting-edge technology.
- Why this job: Be a key player in transforming data processes and making a real impact.
- Qualifications: Experience in Python, PySpark, and data analysis; e-commerce experience is a plus.
- Other info: On-site role in Salford, Manchester, with a vibrant team culture.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking an experienced Data Engineer to join a growing Data Team within a fast-paced, e-commerce-led business that is growing at an astonishing rate. The company operates in the direct-to-consumer retail space, and the role will require you to work on-site, 5 days a week.
As an experienced Data Engineer, you will join a Data Team that is on an exciting journey from legacy reporting to a cloud-based data solution, hosted within the Microsoft Fabric / Azure / Power BI environment. The team is delivering more insights than ever before, with substantial opportunities still ahead and as a Data Engineer your role will play a key part in accelerating the data function by integrating new data sources, implementing enhancements, and resolving issues efficiently.
Key skills and experience needed as a Data Engineer:
- Experience in building data pipelines and writing clean, testable code in Python and/or PySpark.
- Experience working with data from a variety of sources, such as REST and SOAP APIs, CSV and Excel files, and transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200).
- Experience analysing data using Python (Pandas, NumPy) to support legacy reporting.
- Experience in monitoring, troubleshooting, and resolving production data issues as they arise.
- Experience in challenging and refining business requirements, ensuring clarity and alignment.
- Be able to, as a guardian of data, actively contribute to maintaining and enhancing data security standards.
- Experience in an e-commerce or retail environment would be advantageous, but is not essential.
- Knowledge of Power BI, semantic models, or other reporting tools would be highly beneficial.
This is a great opportunity to join a growing team in a growing organisation, where your career will ultimately grow as well. The data team operates across both engineering and insight functions, offering a varied role. You may also support operational data integrations and occasional ad-hoc bulk data handling for analysis or transformation.
If you're an experienced Data Engineer looking to join a company where you're not just another member of the data team, but a valued and integral part of its future growth, then you MUST apply for this role.
Please note: this role requires you to work on-site 5 days a week.
Senior Engineer, Data Engineering in Manchester employer: Ascent People Ltd
Contact Detail:
Ascent People Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Manchester
✨Tip Number 1
Network like a pro! Reach out to people 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 engineering projects, especially those involving Python and PySpark. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or troubleshooting issues, as this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior Engineer, Data Engineering in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and PySpark, as well as any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our Data Team and how your background in e-commerce or retail can contribute to our growth. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific examples of how you've tackled data issues in the past. We love seeing candidates who can demonstrate their ability to troubleshoot and resolve problems efficiently.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Ascent People Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss how you've built data pipelines and handled various data sources. They’ll likely want to hear about specific projects where you’ve transformed data for ingestion, so have some examples at the ready!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've monitored and resolved production data issues in the past. Think of a couple of scenarios where you faced challenges and how you tackled them. This will demonstrate your ability to think on your feet and contribute to their fast-paced environment.
✨Understand Their Business
Since this role is in the e-commerce space, do a bit of research on the company’s products and market position. Understanding their business model will help you align your answers with their goals and show that you're genuinely interested in being part of their journey.
✨Be Ready to Discuss Data Security
As a guardian of data, they’ll want to know how you approach data security standards. Prepare to discuss any relevant experiences you have in maintaining or enhancing data security, and be ready to share your thoughts on best practices in this area.