At a Glance
- Tasks: Join a dynamic 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.
- Other info: On-site role with opportunities for professional development.
- Why this job: Be a key player in transforming data processes and driving insights.
- Qualifications: Experience in Python, PySpark, and data analysis required.
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:
- 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 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.
Data Engineer in Warrington employer: Ascent People Ltd
Join a dynamic and rapidly expanding e-commerce business in Salford, Manchester, where your contributions as a Data Engineer will be pivotal to our journey towards innovative cloud-based data solutions. We pride ourselves on fostering a collaborative work culture that values each team member's input, offering ample opportunities for professional growth and development within a supportive environment. With a focus on integrating new data sources and enhancing data security standards, you'll play a crucial role in shaping the future of our data function while enjoying the benefits of working in a vibrant and fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Warrington
✨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
Show off your skills in real-time! If you get the chance, be ready to demonstrate your Python or PySpark expertise during interviews. Prepare some mini-projects or examples that highlight your problem-solving abilities.
✨Tip Number 3
Ask insightful questions! When you're in an interview, don’t just wait for your turn to speak. Show your interest by asking about the data team's challenges and how you can contribute to their exciting journey.
✨Tip Number 4
Apply through our website! We want to see your application directly, so make sure you submit it there. It shows you're serious about joining our growing team and helps us keep track of your application.
We think you need these skills to ace Data Engineer in Warrington
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 pipeline projects. We want to see how your skills align with our needs, 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 add value. Let us know what makes you tick!
Showcase Your Problem-Solving Skills:In your application, mention specific examples of how you've tackled data issues in the past. We love candidates who can demonstrate their troubleshooting abilities and how they’ve improved data processes.
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 want to hear about your experience with REST and SOAP APIs, so have some examples ready to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've monitored, troubleshot, and resolved production data issues. Think of a couple of challenging scenarios you've faced and how you tackled them. This will demonstrate your ability to think on your feet and contribute to their data function effectively.
✨Understand the Business Context
Since this role is in an e-commerce environment, it’s beneficial to understand how data impacts business decisions. Research the company’s operations and be ready to discuss how your role as a Data Engineer can enhance their data security standards and overall data strategy.
✨Be Ready for Team Dynamics
This position involves working closely with a growing data team, so be prepared to discuss your experience collaborating with others. Highlight any past experiences where you’ve challenged and refined business requirements, ensuring clarity and alignment within a team setting.
