Staff Data Engineer, Ultimate
Conversational AI customer service builder
Job no longer available
Conversational AI customer service builder
201-500 employees
Job no longer available
201-500 employees
Company mission
To bring joy to customer service through the world’s most powerful virtual agent platform.
Role
Who you are
- 8+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments
- Extensive experience with SQL, ideally in the context of data modeling and analysis
- Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc
- Proficiency in a programming language such as Python, Go, Java, or Scala
- Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases
- Experience with processes supporting data transformation, data structures, metadata, dependency, ensuring efficient data processing performance and workload management
- Excellent communication and collaboration skills
- Thrive in ambiguous situations, possesses a proactive problem-solving attitude
Desirable
- Experience with BigQuery, Snowflake, or similar cloud warehouses
- Familiarity with AI tools and techniques that could be applied to data analysis and data transformation tasks
- Completed projects with dbt
- Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics
What the job involves
- The ‘Zendesk Analytics Prototyping’ (ZAP) team is looking for an experienced Staff Data Engineer to support the team’s charter to accelerate CRM measurements and insights, and help promote a data-centric approach to improving customer support tools and operations
- To realize that mission, we build and maintain robust, fine-grained, and contextually rich datasets, providing a foundation for developing insights that help enhance Zendesk’s support operations
- The role will be responsible for closely partnering with Software Development Engineers and Business Intelligence Engineers to build high quality data pipelines and manage the team’s data lake
- You’ll work in a collaborative environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle
- You will craft and develop curated datasets, applying standard architectural & data modeling practices
- You will be primarily developing Data Warehouse Solutions in Snowflake using technologies such as dbt, Airflow, Terraform
- Collaborate with team members and internal stakeholders to understand business requirements, define successful analytics outcomes, and design data models
- Develop, automate, and maintain scalable ELT pipelines in our Data Warehouse, ensuring reliable business reporting
- Design & build ELT based data models using SQL & DBT
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
- Work with data and analytics experts to strive for greater functionality in our data systems
Salary benchmarks
Our take
In the rapidly evolving landscape of digital transformation and eCommerce, businesses are locked in fierce competition, elevating the significance of customer experience. This places considerable strain on customer support teams to deliver exceptional services while managing costs. The solution to this challenge lies in AI-powered digital support automation.
Ultimate provides a no-code automation platform capable of automating up to 60% of support workloads. With a focus on NLP-powered technology, Ultimate has given itself a strategic edge. Its conversational AI is available in 109 languages, consistently positioning the company as a top contender in G2.
The onset of 2022 markets a string of successes for Ultimate, including a record-breaking first half, the appointment of a global customer success executive, and ongoing product innovation. Impressively, the company achieved a 166% growth in new brand partnerships year-on-year, securing major deals with influential names like Zoopla, Get Your Guide, iCard, and Conekta. Now the company is focused on expanding its presence in the US, while also securing even more strategic partnerships.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$20m
SERIES A
Nov 2019
$3.5m
SEED
Total funding: $28.9m
Company benefits
- Scaled professional development: We're passionate about up-skilling our team and providing people with internal opportunities, so we all grow together
- Bespoke personal growth: Learn a new language, train for a marathon, take a coding course. Our personal development budget has you covered
- Flexible working: From office-lovers to homebodies, and anywhere in between, we encourage our team to work from their preferred location
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Sarah Al-Hussaini
(Co-Founder & COO)An investment banker turned CX & AI expert, Sarah is passionate about diversity in tech and its power to create a better world. They were awarded Forbes 30 Under 30 in 2019.
Reetu Kainulainen
(Co-Founder & CEO)Reetu’s vision for Ultimate led tech giants like Maki Ventures and Techstars to back the fast-growing company. They are passionate about using AI to make CS agents’ careers more rewarding and joyful.
Jaakko Pasanen
(Co-Founder & CSO)As Ultimate’s Chief Science Officer, co-founder Jaakko leads the company’s in-house AI research unit in its mission to build the most powerful virtual agent platform for customer support.
Markus Rautio
(Co-Founder)Ever since they helped develop what would become Ultimate at a Helsinki hackathon, Lead Engineer Markus has been using their technical expertise to build products with meaning alongside his co-founders.
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