Technical Support Engineer - EMEA at SIGMA COMPUTING INC

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Business Intelligence, Database Troubleshooting, Data Visualization, Customer Support, Technical Diagnosis, Cross-functional Collaboration, Cloud Services, Snowflake, Redshift, BigQuery, GCP, AWS, Computer Science Fundamentals, Enterprise Product Support

Industry

Software Development

Description

About the role: Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations. What you will be doing: You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance. Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product. Qualifications we are looking for: Industry experience supporting enterprise products for data analytics. Computer Science fundamentals. Strong domain expertise in databases and business intelligence SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc. SQL query performance troubleshooting and plan generation understanding Proficient in data modeling concepts Ability to properly chart data into logical visualizations A proven track record of building trust with customers and bringing issues to resolution quickly Excellent verbal and written communication skills A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc) Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution Desire to be a great teammate and have fun at work Highly Desirable Skills & Experiences Supporting a cloud service in production Experience working with Snowflake, Redshift, BigQuery Knowledge of GCP, AWS Startup experience About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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Responsibilities

Diagnose and resolve complex technical issues for customers and pre-sales teams using the Sigma platform. Collaborate with cross-functional engineering and product teams to optimize service performance and develop best practices for issue resolution.