Data Engineering Specialist: Unlocking Business Value through Data Science
3 weeks ago
We are seeking a talented Data Engineer to join our team at Databricks, a leading data and AI company. In this role, you will be responsible for demonstrating the capabilities of our Databricks Data Intelligence Platform to customers and helping them solve complex data challenges.
About the RoleThis is an excellent opportunity for a seasoned Data Engineer to showcase their expertise and passion for data science and analytics. You will work closely with a collaborative and customer-focused team that values innovation and creativity.
The successful candidate will have experience in technical customer-facing roles and a strong background in Data Engineering (Spark, Databricks, etc.) and/or Data Warehousing (BI, DWH, SQL, PowerBI) skills. A good understanding of Big Data Analytics domains, including architecture and design, is also essential.
Responsibilities- Develop and maintain relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- Become a trusted advisor on aspects of architecture and design.
- Experience in technical customer-facing roles, with a strong background in Data Engineering (Spark, Databricks, etc.) and/or Data Warehousing (BI, DWH, SQL, PowerBI) skills.
- Knowledgeable in core Big Data Analytics domains, including architecture and design.
- Excellent communication and interpersonal skills.
- Able to travel up to 30% to customer sites in the UK and to the London offices.
In return for your expertise and dedication, we offer a competitive salary of £80,000 - £110,000 per annum, depending on experience, plus a range of benefits, including private medical insurance, pension plan, equity awards, and more.
Databricks is an equal opportunities employer and welcomes applications from diverse candidates. If you are passionate about data science and analytics and want to make a real impact, please submit your application.
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