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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.
- Benefits: Competitive salary, career growth, and a collaborative work environment.
- Why this job: Be a key player in transforming data processes and making impactful contributions.
- Qualifications: Experience in Python/PySpark and building data pipelines is essential.
- Other info: On-site role with opportunities for professional development in a vibrant team.
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.
Ingegnere dei dati (f/m) in Manchester employer: Ascent People Ltd
Contact Detail:
Ascent People Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Getting to know the team can give you insider info and make your application stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and PySpark skills. Be ready to discuss your experience with data pipelines and how you've tackled production issues in the past.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've refined business requirements or enhanced data security standards in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining our growing Data Team.
We think you need these skills to ace Ingegnere dei dati (f/m) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python and PySpark, and don’t forget to mention any work with data pipelines or cloud solutions. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've built data pipelines or resolved production issues. This gives us a clear picture of your hands-on experience and problem-solving skills. Remember, we love seeing real-world applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about joining our team and how you can contribute to our journey from legacy reporting to a cloud-based solution. Let your passion for data engineering come through!
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 this exciting opportunity. Don’t miss out on being part of our growing data team!
How to prepare for a job interview at Ascent People Ltd
✨Know Your Tech Stack
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 written clean, testable code. They’ll want to hear about specific projects where you’ve transformed data from various sources, so have some examples at the ready!
✨Understand the Business Context
Since this role is in a fast-paced e-commerce environment, it’s crucial to understand how data impacts business decisions. Familiarise yourself with the company’s operations and think about how your role as a Data Engineer can contribute to their growth. This will show that you’re not just technically savvy but also business-minded.
✨Prepare for Problem-Solving Questions
Expect questions around monitoring, troubleshooting, and resolving production data issues. Think of scenarios where you’ve faced challenges and how you overcame them. Being able to articulate your thought process will demonstrate your problem-solving skills effectively.
✨Show Your Passion for Data Security
As a guardian of data, it’s important to convey your commitment to maintaining and enhancing data security standards. Be prepared to discuss any relevant experiences or knowledge you have regarding data security practices, especially in relation to cloud-based solutions like Microsoft Fabric or Azure.