At a Glance
- 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 teamwork.
- Benefits: Competitive salary, career growth, and a chance to work with cutting-edge technology.
- Other info: On-site role with opportunities for varied tasks and professional development.
- 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.
The predicted salary is between 40000 - 50000 £ 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.
Data Engineer in Bolton 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 Bolton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Data Engineers on LinkedIn. 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 data projects, especially those involving Python and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, especially in e-commerce settings. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. Plus, it shows you're genuinely interested in joining our team and contributing to our exciting journey.
We think you need these skills to ace Data Engineer in Bolton
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 the Data Engineer role and how your background in e-commerce or retail can add value to our team. 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 share.
✨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 handle pressure.
✨Understand the Business Context
Familiarise yourself with the e-commerce landscape and how data plays a role in it. Even if you don’t have direct experience in retail, showing that you understand the business model and can align data strategies with business goals will set you apart.
✨Be Ready to Discuss Data Security
As a guardian of data, you’ll need to show that you take data security seriously. Prepare to discuss any relevant standards or practices you’ve implemented in past roles. This will highlight your commitment to maintaining high data security standards.
