Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain scalable ETL pipelines and visualisations while ensuring high data quality.
- Company: Join a leading telecommunications company focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility and competitive pay of £250 - £300 per day.
- Why this job: Be part of a dynamic team that values clean, actionable data and collaboration.
- Qualifications: 5+ years in data engineering with strong SQL and Python skills required.
- Other info: This is a 12-month contract role with opportunities for professional growth.
The predicted salary is between 50000 - 60000 £ per year.
Start date: ASAP
Salary: £250 - £300 per day (PAYE)
Location: Remote (within the UK)
Contract: 12 Months
Responsibilities:
- Build and maintain scalable ETL pipelines and visualizations
- Collaborate with engineers and data scientists to streamline data workflows
- Ensure high data quality and implement governance best practices
- Support reporting and dashboard development
- Contribute to on-call and operational support
Experience required:
- 5+ years in data engineering, analytics, or similar roles
- Previous experience in the telecommunications industry is highly advantageous
- Strong SQL skills, experience with ETL processes
- Working knowledge of Python
- Experience with data visualization and dashboarding tools
- A passion for clean, accessible, and actionable data
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III (England)
✨Tip Number 1
Make sure to showcase your experience with ETL processes and data visualisation tools during any conversations. Highlight specific projects where you've built scalable pipelines or dashboards, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Network with professionals in the telecommunications industry. Attend relevant meetups or online forums to connect with others in the field. This can lead to valuable insights and potential referrals that could help you land the job.
✨Tip Number 3
Brush up on your SQL skills and be prepared to discuss complex queries or data manipulation techniques. You might even want to practice some common data engineering scenarios to demonstrate your problem-solving abilities during interviews.
✨Tip Number 4
Familiarise yourself with the latest trends in data governance and quality assurance. Being able to discuss best practices in these areas will show that you're not just technically skilled but also understand the importance of clean and actionable data.
We think you need these skills to ace Data Engineer III (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly focusing on your 5+ years in the field. Emphasise any relevant projects or roles that showcase your skills in SQL, ETL processes, and Python.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the responsibilities mentioned in the job description. Discuss how your previous experience aligns with building scalable ETL pipelines and your passion for clean data.
Showcase Relevant Projects: If you have worked on specific projects related to telecommunications or data visualisation, include these in your application. Highlight your role and the impact of your contributions to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Trust In SODA
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, ETL processes, and Python. Bring examples of past projects where you built scalable data pipelines or visualisations, as this will demonstrate your hands-on expertise.
✨Understand the Telecommunications Industry
Since previous experience in the telecommunications industry is highly advantageous, make sure to research current trends and challenges in this sector. This knowledge can help you relate your skills to the company's needs.
✨Emphasise Collaboration
Highlight your ability to work with engineers and data scientists. Prepare examples of how you've successfully collaborated in the past to streamline data workflows, as teamwork is crucial for this role.
✨Demonstrate a Passion for Data Quality
Express your commitment to high data quality and governance best practices. Be ready to discuss how you've implemented these in previous roles, as this aligns with the responsibilities of the position.
