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- Tasks: Integrate and optimise data pipelines to support growth initiatives.
- Company: Leading technology firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Influence data-driven decisions and enhance GTM efficiency in a dynamic environment.
- Qualifications: 5+ years of experience, expertise in Salesforce, SQL, and Python.
- Other info: Join a collaborative team dedicated to driving growth through data.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm in Greater London is seeking a GTM Data Engineer to integrate and optimize data pipelines that support growth initiatives. The ideal candidate will have over 5 years of relevant experience, including expertise in Salesforce and strong skills in SQL and Python.
Responsibilities include managing the GTM systems stack and ensuring data quality across various platforms. This role offers an opportunity to influence data-driven decision-making and improve GTM efficiency.
GTM Data Engineer: Revenue Systems & Pipelines Architect employer: Neara
Contact Detail:
Neara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GTM Data Engineer: Revenue Systems & Pipelines Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your SQL and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of GTM systems and data quality management. We recommend practising common interview questions and having examples ready that highlight your experience with Salesforce.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace GTM Data Engineer: Revenue Systems & Pipelines Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce, SQL, and Python. We want to see how your skills align with the role of a GTM Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our growth initiatives. Let us know what excites you about the role!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data management or pipeline optimisation. We love seeing candidates who can think critically and improve efficiency!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Neara
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Salesforce, SQL, and Python. Brush up on your knowledge of data pipelines and how they integrate with GTM systems. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, particularly around data quality and pipeline optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to influence data-driven decisions.
✨Understand the Company’s Growth Initiatives
Research the company’s recent growth strategies and how they leverage data. Be ready to share your thoughts on how you can contribute to their goals as a GTM Data Engineer. This shows that you’re not just interested in the role, but also in the company’s mission and vision.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data systems and future projects. This not only shows your interest but also gives you a chance to assess if the company is the right fit for you. Ask about their approach to data quality and how they measure success in their GTM initiatives.
