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- Tasks: Build and maintain scalable ETL pipelines while collaborating with engineers and data scientists.
- 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 fosters collaboration.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with Python 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
Data Engineer III (England) employer: Trust In SODA
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. 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
Networking is key! Connect with professionals in the telecommunications industry on platforms like LinkedIn. Engaging with industry-specific groups can help you learn about the latest trends and potentially lead to referrals for our Data Engineer position.
✨Tip Number 3
Brush up on your SQL skills and be prepared to discuss complex queries or optimisations you've implemented in past roles. Being able to articulate your thought process and problem-solving approach will set you apart from other candidates.
✨Tip Number 4
Demonstrate your passion for clean and actionable data by sharing examples of how you've improved data quality in previous positions. This could include implementing governance best practices or developing reporting solutions that enhanced decision-making.
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 relevant experience in data engineering, particularly focusing on your 5+ years in the field. Emphasise your skills in SQL, ETL processes, and any experience you have in the telecommunications industry.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for clean and actionable data. Mention specific projects where you've built scalable ETL pipelines or developed dashboards, and explain how your background aligns with the responsibilities of the role.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in SQL and Python. If you have experience with data visualisation tools, make sure to include that as well, as it’s crucial for this position.
Highlight Collaboration Experience: Since the role involves collaboration with engineers and data scientists, provide examples of past teamwork experiences. Describe how you contributed to streamlining data workflows and ensuring high data quality in previous 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 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 where you've successfully worked in a team. Be ready to explain how you contributed to streamlining data workflows and supporting reporting efforts.
