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- Tasks: Build data orchestration pipelines and solve complex problems for customers.
- Company: Treasure Data simplifies data use for connected customer experiences with a leading cloud-based platform.
- Benefits: Enjoy a hybrid work environment, diverse culture, and opportunities for personal growth.
- Why this job: Join a passionate team focused on delivering ROI and innovative solutions for global clients.
- Qualifications: Degree in Engineering or Computer Science; 2+ years in data solutions and SQL experience required.
- Other info: Opportunity for travel and collaboration with top-tier clients in a dynamic work setting.
The predicted salary is between 43200 - 72000 £ per year.
At Treasure Data, we're on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that's safe, flexible, and secure.
Our Professional Services team is front and center when it comes to working with marquee customers and solving tough problems. Our team consists of data-driven professionals with an analytical mindset and is obsessed with delivering ROI for our customers. We pride ourselves in accelerating time to value for our customers and designing unique solutions that scale for our global customers.
We are seeking a Sr. Data Engineer to join the team. In this role you will have the opportunity to:
- Help customers extract maximum value from their data by building data orchestration pipelines and solving complex problems.
- Be the domain expert in all things Treasure Data!
- Develop sophisticated solutions that will scale for large datasets and withstand the test of time.
- Ensure that your solutions are efficient, well-documented and easily customizable to different types of data and business use cases.
- Participate in blueprinting, scoping, prioritizing technical requirements and assist our customers in their digital transformation journey.
- Guide customers in best-practices for CDP implementation and ensure they are self-sufficient.
- Visit customers on-site and participate in in-person meetings.
About You:
- University degree in Engineering or Computer Science or a quantitative field such as Math or Statistics.
- Background in data & technology and a track record (at least 2 years) of working with data and building scalable solutions.
- Working knowledge and 2+ years of experience in SQL and have successfully deployed data-oriented solutions (DW, BI, ETL, etc).
- 2+ years of experience coding with a scripting language such as Python.
- Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab.
- Experience handling issues, customer concerns, engaging with developers, business teams and working towards resolution.
We would be thrilled if you:
- Have experience with Cloud-based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies.
- Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc).
- An understanding of web technologies such as Javascript, node.js and html.
- Some level of understanding or experience in AI/ML.
Physical Requirements: Working out of the London office according to our "Global Hybrid Working Policy." Travel Requirements: Approximately 10-25 % travel may be required as part of this job.
Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.
Sr. Data Engineer - Professional Services employer: Treasure Data
Contact Detail:
Treasure Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Engineer - Professional Services
✨Tip Number 1
Familiarise yourself with Treasure Data's platform and its features. Understanding their customer data platform will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your experience with data orchestration pipelines and scalable solutions. Be ready to discuss specific projects where you've successfully implemented these technologies, as this aligns closely with the job requirements.
✨Tip Number 3
Prepare to discuss your collaborative experiences, especially using version control tools like GitHub or GitLab. Highlighting your teamwork skills will resonate well with the company's emphasis on collaboration.
✨Tip Number 4
Research the latest trends in AI/ML and Big Data technologies. Being knowledgeable about these areas will not only impress during interviews but also show that you're proactive about staying current in the field.
We think you need these skills to ace Sr. Data Engineer - Professional Services
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Sr. Data Engineer position at Treasure Data. Tailor your application to highlight relevant experiences that align with their mission of simplifying data usage.
Highlight Relevant Experience: In your CV and cover letter, emphasise your background in data engineering, particularly your experience with SQL, Python, and any big data technologies. Provide specific examples of projects where you've built scalable solutions or solved complex problems.
Showcase Soft Skills: Treasure Data values team collaboration and customer engagement. Make sure to include examples of how you've worked effectively in teams, engaged with customers, and resolved issues. This will demonstrate your fit within their culture of honesty, reliability, and openness.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Discuss why you're passionate about data engineering and how you can contribute to Treasure Data's goals. Personalise it by mentioning specific aspects of their work that resonate with you.
How to prepare for a job interview at Treasure Data
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and any big data technologies you've worked with. Highlight specific projects where you built scalable solutions or data orchestration pipelines, as this will demonstrate your hands-on expertise.
✨Understand Treasure Data's Mission
Familiarise yourself with Treasure Data's customer data platform and its impact on businesses. Being able to articulate how your skills align with their mission to simplify data usage will show your genuine interest in the role.
✨Prepare for Problem-Solving Scenarios
Expect to encounter technical challenges during the interview. Practice explaining your thought process when solving complex problems, as this will showcase your analytical mindset and ability to deliver ROI for customers.
✨Emphasise Collaboration and Communication
Since the role involves working closely with customers and various teams, be ready to discuss your experience in collaborative environments. Share examples of how you've engaged with stakeholders to resolve issues and ensure successful project outcomes.
