Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Engineer, building innovative data solutions in a fast-paced environment.
- Company: Ascentia Partners collaborates with a leading iGaming & Betting provider in Europe.
- Benefits: Enjoy remote work flexibility and access to cutting-edge technologies.
- Why this job: Be part of a collaborative team that values growth and development while making a real impact.
- Qualifications: 3+ years of experience in data engineering, with skills in Python, SQL, and cloud environments.
- Other info: This role is remote for UK/EU candidates; no visa sponsorship available.
The predicted salary is between 45000 - 75000 £ per year.
Ascentia Partners are teaming up with one of the longest running iGaming & Betting providers on the European market, to grow their data engineering and analytics teams. We are looking for an experienced Data Engineer (3+ years in industry), who has worked in a fast pace environment, handling real time data to build innovative solutions that make a difference.
Key Responsibilities:
- Python
- Experience working in a cloud environment, ideally GCP
- Ability to build and maintain a data warehouse including ETL pipelines
- Knowledge of data governance
- Work in collaboration with Data Analytics, Data Science and Software teams
- Experience supporting the backend for data modelling in either Data Science, Pricing or ML based projects
- Experience with SQL & NoSQL databases
If you have skills across cloud infrastructure/platform engineering, this would be an incredible bonus! If you are looking for a rewarding, fast paced and collaborative environment that will support growth, development and provide access to some of the best technologies on the market, then we would love to hear from you.
Data Engineer - Remote - UK/EU - up to £75,000 employer: Ascentia
Contact Detail:
Ascentia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Remote - UK/EU - up to £75,000
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially GCP and Python. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the iGaming and data engineering sectors. Join relevant online communities or attend industry meetups to connect with potential colleagues and learn more about the company culture at Ascentia Partners.
✨Tip Number 3
Prepare to discuss your experience with real-time data handling and building ETL pipelines during interviews. Be ready to provide examples of how you've successfully implemented these processes in previous roles.
✨Tip Number 4
Research the latest trends in data governance and cloud infrastructure. Being knowledgeable about current best practices will not only help you in interviews but also demonstrate your commitment to staying updated in the field.
We think you need these skills to ace Data Engineer - Remote - UK/EU - up to £75,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python and cloud environments like GCP. Emphasise your work with ETL pipelines and data warehouses.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to work in fast-paced environments. Mention specific projects where you've handled real-time data and collaborated with analytics or software teams.
Highlight Technical Skills: Clearly list your technical skills related to SQL, NoSQL databases, and any experience with data governance. If you have knowledge of cloud infrastructure or platform engineering, make sure to include that as well.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Ascentia
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and cloud environments, especially GCP. Be prepared to discuss specific projects where you've built or maintained data warehouses and ETL pipelines.
✨Demonstrate Real-Time Data Handling
Since the role involves working with real-time data, share examples of how you've successfully managed and processed real-time data in previous positions. This will show your ability to thrive in a fast-paced environment.
✨Collaboration is Key
Emphasise your experience working collaboratively with Data Analytics, Data Science, and Software teams. Prepare to discuss how you’ve contributed to cross-functional projects and the impact of your collaboration.
✨Prepare for SQL & NoSQL Questions
Brush up on your SQL and NoSQL database knowledge. Expect technical questions that assess your understanding and practical application of these technologies, as they are crucial for the role.