Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, Spark, Azure Data Factory (ADF), Databricks, GoodData , Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both batch and real-time processing.

WHAT YOU'LL DO

• Develop and maintain scalable data models and data access layer frameworks that serve as the foundation for centralized databases and downstream applications e.g. dashboards and feature computations
• Build and optimize ETL pipelines to ingest, transform, and integrate various data sources, ensuring data consistency, quality, and availability, leveraging .NET libraries, dbt, Apache Spark and analytical tools
• Contribute to Agile development processes by participating in sprint planning, stand-ups, and retrospectives to ensure continuous delivery and alignment with team goals.
• Collaborate closely with the product team to translate roadmap priorities into technical designs and deliverables that meet business and customer needs.
• Work hand-in-hand with Data Scientists to create and enhance frameworks that simplify customer data integration and support advanced analytics and consumer workflows.
• Participate in code reviews, deployment processes, and monitoring to ensure high-quality production releases and smooth operation of data pipelines and frameworks.

WHAT YOU BRING

• Experience: You have at least 2 years of professional experience in Data Engineering or Software Engineering focused on data-related projects - this role is targeted at mid-level engineers who have demonstrated the ability to deliver production-quality solutions and are ready to take on new challenges.
• Data analysis: You have a strong expertise with a Data Visualization tool like PowerBI, GoodData, Tableau, and the willingness to work with it on a daily basis
• Knowledge and experience using object-oriented concepts; you can design class diagrams and use common object-oriented design patterns naturally. C# knowledge is a plus.
• Data-oriented mindset; you have strong data exploration skills using standard Python libraries; you can dive deep into datasets to identify optimal ways to process and transform data.
• Good practical spirit, eager to understand how new systems work, and able to troubleshoot and improve them; when hitting an unexpected problem, you are ready to dig in to solve the problem yourself.
• Teamwork capabilities; you are comfortable working with others and you have good communication skills. You proactively maintain clear, thorough documentation to support knowledge sharing and collaboration across distributed and remote teams.
• English speaker; we are an international company with offices in many countries and 50+ nationalities, hence our working language is English

HIRING PROCESS

#LI-RH1 #LI-HYBRID

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.