Solutions Engineer (Data Engineering and/or Data Warehousing)

TN United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Solutions Engineer specializing in Data Engineering and Data Warehousing. This role involves collaborating with clients to offer tailored solutions using the Databricks platform, enhancing their data strategies. You will engage in hands-on evaluations, contribute to community building, and develop your skills in both technical and pre-sales aspects. If you're passionate about transforming data into actionable insights and thrive in a collaborative environment, this opportunity is perfect for you. Join us to redefine how businesses leverage data and make impactful decisions.

Qualifications

• Experience in Data Engineering and/or Data Warehousing.
• Proficiency in a core programming language like Python, Java, or Scala.

Responsibilities

• Build relationships with clients to provide technical and business value.
• Support customers by creating reference architectures and demo applications.

Skills

Data Engineering

Spark

SQL

Python

Java

Scala

Data Warehousing

Big Data Analytics

Customer-facing Skills

Solution Architecture

Tools

Databricks

PowerBI

AWS

GCP

Azure

Job description

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Solutions Engineer (Data Engineering and/or Data Warehousing), London

Client: Databricks

Location: London, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: 783e87c9edb9

Job Views: 1

Posted: 07.05.2025

Expiry Date: 21.06.2025

Job Description:

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

You will be reporting to the Manager, Field Engineering.

The impact you will have:

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Experience, technical customer-facing skills, with a background in Data Engineering (Spark, Databricks, etc.) and/or Data Warehousing (BI, DWH, SQL, PowerBI).
• You will be working in one of the following vertical sectors: Communications, Media and Entertainment; Manufacturing, Energy and Industrials; Travel, Transport and Logistics; Financial Services and Insurance; Healthcare and Life Sciences; Public Sector; Consumer Package Goods (CPG) / Retail.
• Any experience of pre-sales or post-sales work with external clients.
• Familiarity working with clients, creating narratives, answering questions, aligning agendas with key interests, and achieving tangible outcomes.
• Ability to independently deliver technical propositions, identify customer pain points, and explain business value to develop trusted advisor skills.
• Proficiency in a core programming language such as Python, Java, or Scala.
• Knowledge in Big Data Analytics domains with exposure to proofs-of-concept and understanding of major public cloud platforms (AWS, GCP, Azure).
• Experience in solution architecture and design.
• This role requires 30% travel within the UK and to the London offices.
• Nice to have: Databricks Certification.