At a Glance
- Tasks: Transform data into insights and enhance data quality for impactful decision-making.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy a competitive salary and a full-time role with growth potential.
- Other info: Dynamic work environment with opportunities to learn and grow.
- Why this job: Be at the forefront of data engineering and shape the future with your skills.
- Qualifications: Experience in Python and data reporting tools like Tableau is essential.
The predicted salary is between 50000 - 65000 € per year.
Location: London, United Kingdom
Posted: 9 months ago
Tech stack:
- GDPR
- Data Engineer
- Tableau
- Python
Required Skills:
- Data sets and improving data quality
- Preparing data for predictive and prescriptive modelling
- Hands-on coding experience, such as Python
- Reporting tools (e.g. Tableau, PowerBI, Qlik)
- GDPR and Government Service Standard (desirable)
Compensation: Competitive
Role type: Full time
Visa sponsorship: Not provided
Data Engineer in London - Solirius Reply employer: Solirius Reply
Solirius Reply is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and hands-on experience with cutting-edge technologies like Python and Tableau. Our commitment to data quality and compliance ensures that you will be part of meaningful projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London - Solirius Reply
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role at Solirius Reply.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python and Tableau. This will give you an edge and demonstrate your hands-on coding experience to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on GDPR and data quality improvement techniques. We want you to be ready to discuss how you can enhance data sets and contribute to predictive modelling.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer in London - Solirius Reply
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data sets, Python, and reporting tools like Tableau. We want to see how your skills match the role, so don’t be shy about showcasing your hands-on coding experience!
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 your background aligns with our needs. Let us know what excites you about working with data and improving data quality.
Showcase Relevant Projects:If you've worked on any projects that involved predictive or prescriptive modelling, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Solirius Reply
✨Know Your Tech Stack
Make sure you’re familiar with the tech stack mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used it in past projects. If you’ve worked with reporting tools like Tableau, prepare to showcase your experience and any specific dashboards or reports you've created.
✨Data Quality Matters
Since improving data quality is a key part of the role, think of examples where you’ve successfully enhanced data sets. Be ready to explain your approach to data cleaning and preparation for predictive modelling. This will show that you understand the importance of data integrity.
✨GDPR Knowledge is Key
Even though GDPR knowledge is listed as desirable, it’s worth brushing up on. Familiarise yourself with the basics of GDPR and how it impacts data engineering. You might be asked how you would ensure compliance in your data handling processes.
✨Prepare Questions
Interviews are a two-way street, so prepare thoughtful questions about the company’s data practices and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you. Ask about their current projects and how they use data to drive decisions.
