At a Glance
- Tasks: Uncover insights and build data pipelines using SQL, Python, and Cloud tools.
- Company: Join a dynamic tech team at a leading retail company in Loudwater.
- Benefits: Enjoy competitive salary, amazing staff discounts, hybrid working, and wellness support.
- Other info: Collaborative culture with opportunities for career growth and personal development.
- Why this job: Make a real impact by solving complex business problems with data-driven solutions.
- Qualifications: 5+ years in data reporting, strong SQL skills, and experience with modern data platforms.
The predicted salary is between 60000 - 75000 € per year.
We are looking for a new Data Engineer to join our Technology team based in Loudwater, Buckinghamshire. In this role, you will have a passion for uncovering insights and making data-driven decisions. Your expertise lies in working with a range of tools (SQL, Python, Cloud) to extract, transform, and load data from various sources, seamlessly bridging the gap between back-end and front-end systems.
You will act as the escalation point providing 2nd/3rd line technical support. In addition, you will be involved in project work to enhance the reporting capability and business functionality. Be responsible for data enhancements and executing plans that utilise the current toolkit and the skills of the team to deliver these.
Contribute to the technological architecture/strategy from a data perspective. Work closely with our Business Systems and Business Intelligence Teams to drive solutions that ensure ease of access to data and help them to work with data more effectively and efficiently.
Key responsibilities include:
- Build data pipelines, owning the data engineering artefacts.
- Build solutions to move data internal & external.
- Work across groups, projects, and products to implement data engineering solutions to solve complex business problems, using the organisation's chosen technology.
- Support the vision for the organisation's use of data in line with corporate goals and vision.
- Assist with Data Management activities, such as data cataloguing and discovery.
You should have a minimum of 5 years proven experience in a data reporting environment, ideally within a fast-paced retail/multi-site/FMCG space. Strong experience using modern data platforms and services (Fabric, Data Lake, Azure Data Factory, SQL (On-prem/Cloud)) to build conformed and derived data models for the purpose of integrations, reporting, and analytics is essential.
Additional qualifications include:
- Expertise with Microsoft Fabric.
- Experience of DevOps tools (git, infrastructure as code, code release deployment).
- Strong proficiency with SQL and preferably knowledge of Python.
- Experience of Data Modelling.
- Experience of Data Governance tools, such as Purview or Unity Catalog.
We offer a discretionary annual bonus scheme, amazing staff discounts on Dreams products and hundreds of brands, the opportunity to buy extra holiday, private healthcare, and savings and loans. We provide free onsite parking, a 24-hour helpline with a variety of support services, an on-site gym, and out of hours GP service. Our hybrid working model allows you to work your hours responsibly to suit you.
Senior Engineer, Data Engineering in High Wycombe employer: Dreams Ltd
Join our dynamic Technology team in Loudwater, Buckinghamshire, where we prioritise innovation and collaboration. As a Senior Engineer in Data Engineering, you'll benefit from a supportive work culture that values employee growth, offering opportunities for professional development alongside a competitive salary and an attractive benefits package, including generous staff discounts and a focus on wellbeing. With hybrid working options and a commitment to fostering a positive environment, we ensure that our employees thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in High Wycombe
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data engineering projects, especially those using SQL, Python, or cloud tools. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Engineer, Data Engineering in High Wycombe
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to drive decisions or uncover insights in your previous roles. We love seeing candidates who are genuinely excited about the impact of their work.
Tailor Your Experience:Make sure to highlight your experience with the tools mentioned in the job description, like SQL, Python, and cloud services. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing relevant projects or achievements!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. Remember, clarity is key when you’re explaining complex data engineering concepts!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Dreams Ltd
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL, Python, and any cloud technologies mentioned in the job description. Brush up on your knowledge of Microsoft Fabric and Azure Data Factory, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved complex data problems. Think about how you’ve built data pipelines or enhanced reporting capabilities in previous roles, and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with the retail and FMCG sectors, as this role requires a strong understanding of how data impacts business decisions. Be prepared to discuss how your work can drive solutions that align with corporate goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how the Technology team collaborates with Business Systems and Business Intelligence Teams. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
