At a Glance
- Tasks: Transform data into insights and enhance data quality for impactful decision-making.
- Company: Join Solirius Reply, a forward-thinking tech company in London.
- Benefits: Enjoy a competitive salary and the chance to work with cutting-edge tools.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and shape the future of analytics.
- 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. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects:If you've worked on any projects that involved predictive or prescriptive modelling, make sure to mention them. We’re keen to see real-world applications of your skills, so share those experiences with us!
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!
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, especially Python and Tableau. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Data Skills
Prepare examples of how you've improved data quality or worked with data sets. Be ready to explain your approach to predictive and prescriptive modelling, as this will likely come up during the interview.
✨Understand GDPR
Since GDPR knowledge is desirable, make sure you understand its principles and how they apply to data engineering. You might be asked about compliance and best practices, so having a solid grasp of this will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data processes and challenges. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
