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- Tasks: Build and maintain scalable ETL pipelines and visualisations while ensuring 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.
Title: Data Engineer
Start date: ASAP
Salary: £250 – £300 per day (PAYE)
Location: Remote (within the UK) Contract: 12 MonthsResponsibilities:
- 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
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Data Engineer III employer: Soda
Contact Detail:
Soda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III
✨Tip Number 1
Make sure to showcase your experience with ETL processes and data visualisation tools during any conversations. Be ready to discuss specific projects where you've built scalable pipelines or dashboards, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Since previous experience in the telecommunications industry is a plus, try to highlight any relevant projects or roles you've had in that sector. If you don't have direct experience, consider discussing transferable skills from similar industries.
✨Tip Number 3
Brush up on your SQL skills and be prepared to answer technical questions or solve problems on the spot. Practising common SQL queries and data manipulation tasks can give you an edge during technical discussions.
✨Tip Number 4
Collaboration is key in this role, so be ready to talk about how you've worked with engineers and data scientists in the past. Sharing examples of successful teamwork can help illustrate your ability to contribute effectively in a collaborative environment.
We think you need these skills to ace Data Engineer III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and analytics, especially any relevant projects or roles that demonstrate your skills in building ETL pipelines and working with SQL. Mention any specific tools or technologies you've used that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives your work. Discuss your experience in the telecommunications industry if applicable, and explain how your skills can contribute to the company's goals. Be sure to mention your collaborative approach and any successful projects you've been part of.
Showcase Relevant Projects: If you have worked on specific projects that involved data visualisation or dashboard development, include these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, take the time to proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that your documents are clear and professional. A polished application reflects your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at 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 specific needs of the company.
✨Emphasise Data Quality and Governance
Highlight your understanding of data quality and governance best practices. Be ready to discuss how you've implemented these in past roles, as this is crucial for ensuring reliable data workflows.
✨Prepare for Collaboration Questions
As collaboration with engineers and data scientists is key, think of examples that showcase your teamwork skills. Be ready to explain how you’ve worked with others to streamline data workflows and support reporting efforts.
