At a Glance
- Tasks: Uncover insights and make data-driven decisions 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: Be part of a collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact by solving complex business problems with data engineering solutions.
- Qualifications: 5+ years in data reporting, strong SQL skills, and experience with modern data platforms.
The predicted salary is between 60000 - 80000 € 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 cataloging 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.
Ingegnere dei dati (f/m) in High Wycombe employer: Dreams Ltd
Join our dynamic Technology team in Loudwater, Buckinghamshire, where we prioritise innovation and collaboration. As a Data Engineer, you'll benefit from a supportive work culture that values your contributions, offers extensive employee growth opportunities, and provides unique perks such as generous staff discounts, private healthcare options, and a focus on wellbeing with access to an onsite gym. With a commitment to hybrid working and a vibrant community spirit, we ensure that every team member feels valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in High Wycombe
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. 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; showcase it! Create a portfolio of projects that highlight your expertise in SQL, Python, and cloud tools. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss how you've solved complex problems in the past and how you can contribute to our team’s goals at StudySmarter.
✨Apply Through Our Website
Make sure to apply directly through our website! It not only shows your interest but also helps us keep track of your application. Plus, you’ll get to see all the amazing opportunities we have available!
We think you need these skills to ace Ingegnere dei dati (f/m) in High Wycombe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and cloud tools, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific experiences that relate to our job description.
Showcase Your Projects:If you've worked on any data projects, don't hesitate to showcase them! Whether it's building data pipelines or enhancing reporting capabilities, we love seeing real examples of your work. Include links or descriptions in your application.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates. Plus, it’s super easy to do!
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 services mentioned in the job description. Brush up on your knowledge of Microsoft Fabric and Azure Data Factory, as these are crucial for the role. Be ready to discuss specific projects where you've used these tools to solve data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using data engineering solutions. Think about times when you built data pipelines or enhanced reporting capabilities. This will demonstrate your ability to bridge the gap between back-end and front-end systems effectively.
✨Understand the Business Context
Familiarise yourself with the retail and FMCG sectors, as this role is set in a fast-paced environment. Be prepared to discuss how data-driven decisions can impact business functionality and reporting. Showing that you understand the bigger picture will impress the interviewers.
✨Be Ready for Technical Questions
Expect to face technical questions related to data modelling, governance tools, and DevOps practices. Brush up on your knowledge of data cataloging and discovery processes. Practising common interview questions in these areas will help you feel more confident during the interview.
