At a Glance
- Tasks: Build and own data pipelines, design experiments, and create impactful dashboards.
- Company: Join a global tech company focused on improving customer support tools.
- Benefits: Remote work options and competitive salary up to £86,000.
- Why this job: Make a real impact with data that drives decisions in a dynamic team.
- Qualifications: 5 years of experience with SQL, Python, and data visualisation tools.
- Other info: Contract role until February 2026, inside IR35, UK candidates only.
The predicted salary is between 51600 - 86000 £ per year.
Senior Data Engineer – Product Metrics & Tooling (Contract) This one\’s for the data engineers who don\’t just ship pipelines -you care about what\’s being measured, and why. We\’re looking for a contract Data Engineer to join a small but mighty team focused on building metrics, dashboards, and data solutions that actually help improve customer support tools in a global tech company (yes, that scale). What you\’ll be doing: Build and own data pipelines success metrics for customer-facing tools Design experiments, surface insights, and create dashboards that people use Work with DS, Eng and PMs-but with a good amount of autonomy Help shape how product support and knowledge tooling gets measured The must-haves: 5 years hands-on with SQL & Python Strong data modelling visualisation (Tableau, MicroStrategy etc.) Azure Data Factory, Airflow or similar integration tools Bonus: analytics mindset and experience working with customer support or product teams The Offer: Annual Salary up to £86,000 doe and location Contract until end of Feb 2026 – inside IR35 – PAYE UK – remote – candidates only considered who hold appropriate work permits (no sponsorship) If you\’ve been in the game for a while and want to work on data that actually powers decisions-not just dashboards that no one checks-let\’s chat. Apply Now for more info. Som |
Data Engineer - Product Metrics & Tooling - Global Tech employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Product Metrics & Tooling - Global Tech
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Azure Data Factory and Airflow. Having hands-on experience or even a solid understanding of these tools can set you apart during discussions.
✨Tip Number 2
Showcase your ability to work autonomously by preparing examples of past projects where you took the lead. This will demonstrate your capability to manage tasks independently, which is crucial for this role.
✨Tip Number 3
Brush up on your SQL and Python skills, as they are essential for this position. Consider working on a small project or contributing to an open-source initiative to highlight your proficiency in these languages.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like Tableau or MicroStrategy. Think of specific instances where your visualisations led to actionable insights, as this will resonate well with the team’s focus on impactful metrics.
We think you need these skills to ace Data Engineer - Product Metrics & Tooling - Global Tech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data visualisation tools like Tableau or MicroStrategy. Emphasise any relevant projects where you've built data pipelines or dashboards that have had a tangible impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it relates to improving customer support tools. Mention specific examples of how you've used data to drive decisions in previous roles, showcasing your analytics mindset.
Showcase Relevant Experience: When detailing your work history, focus on your hands-on experience with Azure Data Factory, Airflow, or similar integration tools. Highlight any collaborative projects with data scientists, engineers, or product managers to demonstrate your ability to work autonomously while being part of a team.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Principle
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you've built data pipelines or worked with data visualisation tools like Tableau or MicroStrategy.
✨Demonstrate Your Analytical Mindset
Highlight your ability to think critically about data. Discuss how you've used data to drive decisions or improve processes, especially in customer support or product teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Be ready to explain how you would approach designing experiments or creating dashboards that provide actionable insights.
✨Emphasise Collaboration and Autonomy
Since the role involves working with various teams, share examples of how you've successfully collaborated with data scientists, engineers, and product managers while also taking ownership of your projects.