🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Description This is an opportunity to join Ascot Group - one of the world’s preeminent specialty risk underwriting organizations. Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way. The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric. Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline. Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work. Position Overview The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US.This position will be responsible for the analysis, development, implementation, testing, and ongoing support of Ascot’s data and analytics assets. The ideal candidate has a foundational understanding of data warehouse design including strong SQL/ETL skills, strong attention to detail, and a desire to continue developing technical and analytical skills in an enterprise data environment. The Data Engineer will interface regularly with business partners across Underwriting, Operations, Finance, Actuarial, and Finance. This role will be in the office with a hybrid work schedule. Responsibilities Partner with business stakeholders to understand data, reporting, and analytics requirements and translate them into actionable solutions. Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations supporting enterprise reporting and analytics. Develop and optimize SQL queries, datasets, and data models to support reporting, analysis, and operational decision-making. Some may build and maintain Power BI reports, dashboards, and semantic models that provide timely and meaningful business insights. Validate, reconcile, and monitor data to ensure accuracy, completeness, and consistency across source systems and reporting outputs. Collaborate with data engineers, business analysts, and subject matter experts to understand business processes, data structures, and reporting needs. Support the testing, deployment, and ongoing maintenance of data and reporting solutions, including issue resolution and enhancements. Participate in project planning, requirements gathering, estimation, and solution design activities for data-centric initiatives. Document business requirements, data transformations, reporting logic, and technical processes in accordance with established standards. Identify opportunities to improve data quality, automate manual processes, and enhance reporting capabilities across the organization. Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability. Requirements A minimum of 3 years of experience in data analytics, business intelligence, reporting, or data engineering-related roles. Strong SQL development and data analysis skills. Experience with Power BI or similar business intelligence tools preferred. Familiarity with data warehouse concepts, ETL/ELT processes, and dimensional modeling. Experience working with enterprise data platforms, cloud data services, or modern analytics environments. Strong analytical, problem-solving, and stakeholder communication skills. Bachelor’s degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience). Experience working within the insurance industry is highly preferred, including familiarity with insurance operations, policy, claims, underwriting, finance, or regulatory reporting data domains. *This position may be filled at a different level, depending on experience* Compensation Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot’s total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company. The annualized base pay range for this role is: $110,000 - $125,000 Company Benefits The Company provides a competitive benefits package that includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more. Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver) Retirement Benefits: Contributory Savings Plan (401k)
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.