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- Tasks: Design and maintain scalable data pipelines while collaborating with cross-functional teams.
- Company: Join a dynamic team focused on enhancing customer satisfaction through data-driven solutions.
- Benefits: Enjoy the flexibility of remote work and potential for contract extension.
- Why this job: Be part of a hands-on role that drives impactful business decisions and fosters collaboration.
- Qualifications: 5+ years in SQL and Python, with experience in data visualization and ETL tools.
- Other info: Ideal for those passionate about data and eager to make a difference in support operations.
Location: UK - Remote
Contract: 3 Months (with potential for extension)
About the Role:
In this role, you will play a key part in supporting client’s High Touch Support operations—designing and maintaining scalable data pipelines and creating solutions that drive customer satisfaction and informed business decisions. This is a hands-on role with a strong focus on metric development, data visualization, and data pipeline optimization. You’ll work cross-functionally with Engineers, Data Scientists, and Product Managers to ensure the right data is captured, modeled, and surfaced to support ongoing initiatives.
Key Responsibilities:
- Build and maintain scalable data pipelines and architecture
- Develop success metrics and dashboards to measure and drive team performance.
- Collaborate with stakeholders (PMs, DS, Eng) to define data needs and translate them into actionable insights
- Support knowledge management efforts—identifying performance gaps in support tools like search and agent experience
- Handle ad hoc data requests including bug fixes, data pulls, and issue investigations
- Leverage BI and integration tools like Azure Data Factory for robust data solutions
Qualifications:
- 5+ years of experience with SQL and Python
- Strong background in data modeling and data visualization (Tableau, MicroStrategy, etc.)
- Hands-on experience with Azure Data Factory, Airflow, or similar ETL tools
- Ability to work independently while collaborating with cross-functional teams
- Experience with data analysis and metric definition is a plus
Nice to Have:
- Prior experience in support systems, user behavior analytics, or knowledge base optimization
Data Engineer (Remote Role) employer: US TECH SOLUTIONS LIMITED
Contact Detail:
US TECH SOLUTIONS LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote Role)
✨Tip Number 1
Familiarise yourself with Azure Data Factory and other ETL tools mentioned in the job description. Consider building a small project or contributing to an open-source project that showcases your skills in data pipeline optimisation.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with high-touch support operations. Join relevant online communities or forums where you can ask questions and share insights.
✨Tip Number 3
Prepare to discuss specific examples of how you've developed success metrics and dashboards in previous roles. Be ready to explain your thought process and the impact your work had on team performance.
✨Tip Number 4
Research StudySmarter's current projects and initiatives related to data engineering. Understanding our goals and challenges will help you tailor your discussions during interviews and demonstrate your genuine interest in the role.
We think you need these skills to ace Data Engineer (Remote Role)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data visualization tools like Tableau or MicroStrategy. Emphasise any relevant projects where you've built scalable data pipelines or collaborated with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Engineer role and how your skills align with the responsibilities outlined in the job description. Mention specific experiences that demonstrate your ability to develop success metrics and dashboards.
Showcase Relevant Projects: If you have worked on projects involving Azure Data Factory or similar ETL tools, be sure to include these in your application. Describe your role in these projects and the impact they had on data management or customer satisfaction.
Highlight Collaboration Skills: Since this role involves working with Engineers, Data Scientists, and Product Managers, make sure to highlight any past experiences where you successfully collaborated with different teams. This will show your ability to work independently while still being a team player.
How to prepare for a job interview at US TECH SOLUTIONS LIMITED
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and Python during the interview. Be prepared to discuss specific projects where you've built data pipelines or worked with ETL tools like Azure Data Factory, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would handle ad hoc data requests or optimize existing data pipelines, and be ready to explain your thought process clearly.
✨Emphasise Collaboration
Since this role involves working cross-functionally, be sure to share examples of how you've successfully collaborated with Product Managers, Data Scientists, or Engineers in the past. This will show your ability to work well in a team environment.
✨Demonstrate Your Understanding of Metrics
Discuss your experience with developing success metrics and dashboards. Be prepared to explain how you measure performance and drive insights from data, as this is crucial for supporting client operations effectively.
