Are you a curious and ambitious Data Engineer, passionate about unlocking the potential of data to drive innovation? Do you thrive in a dynamic startup environment where your contributions have a direct impact on groundbreaking projects? If so, we have an incredible opportunity for you to join our exceptional team in Warsaw.

We are on a mission to revolutionize the way data is harnessed and leveraged. As a Data Engineer in our vibrant startup, you will be instrumental in building robust data infrastructure, enabling seamless data collection, processing, and analysis. Your expertise will play a critical role in driving actionable insights and empowering our innovative projects.

Tensorflight is a Polish  insurtech  startup  that is revolutionizing  the insurance industry. 

We are developing an AI building inspector and give underwriters and insurers access to rich and accurate datasets for commercial property to create better insurance products. We automate inspections of commercial, residential and industrial buildings using aerial, satellite, and ground-level imagery. Our system combines derived data with geospatial information and public records to unlock valuable insight about buildings and properties such as replacement value, construction type, or roof characteristics.

Requirements

Education and Experience:

• 4+ years of experience in data engineering, handling large-scale data processing.

• 2+ years of experience in a Google Cloud environment.

Knowledge and Skills:

• Strong understanding of distributed computing frameworks such as Apache Spark, optionally Apache Beam, or similar technologies.

• Familiarity with Postgres and strong understanding of relational and NoSQL databases. High proficiency in SQL.

• Proficiency in Python programming.

• Knowledge of data governance practices, data security, and privacy regulations.

• Additional Skills:

  • Experience working with geospatial data is highly desirable.

  • Familiarity with BigQuery is a plus.

  • Familiarity with DevOps practices and tools, including Docker, Kubernetes, Terraform, Grafana, CI/CD is a plus.

• Strong problem-solving skills, a proactive approach, and excellent communication and collaboration skills in English.

Responsibilities

• Implement and enforce best practices in data engineering, focusing on data integrity, quality, and security. Maintain comprehensive documentation and uphold data governance standards.

• Build and own scalable data pipelines and database schemas for ingesting, processing, and storing various data types. Develop integration workflows and ETL processes to transform raw data into actionable formats.

• Responsible for data exports to BigQuery and data pipelines for exporting large datasets for the ML team.

• Collaborate closely with the ML team, software engineers, data analysts, and business stakeholders to understand data requirements and deliver tailored solutions.

• Optimize and fine-tune data systems for high performance, reliability, and scalability on GCP.

• Take end-to-end responsibility for data-related projects, demonstrating independence and adaptability in meeting various data needs.

Offer

• Salary 22-27k + VAT, B2B contract

• Employee Stock Option Plan

• Paid holidays

• Private health care and multisport fitness card

• Working in a Polish startup environment for USA-based  insurtech industry

• A world-class team of engineers and machine learning experts.

• Personal development - training, conferences,  tech talks.

• Hybrid model of work, we work 2 days per week in the office in the heart of Warsaw.

• Flexible working hours; we start from 9 to 12 am.

• Budget for lunches in the office

• Integration events and trips

WHY TENSORFLIGHT

Tensorflight is a high-potential start-up backed by leading Silicon Valley, NY, Bermuda, and Australian investors from Fortune 500, including insurance industry leaders like QBE, and highly respected insurance partners such as Nephila and Hudson Structured. Our clients include top commercial carriers in the world like Zurich Insurance and a few more from S&P 500. 

We’re a group of creative and curious people who passionately move this project forward. We’ve got a friendly, informal, and open-minded startup atmosphere and we’re all united by a culture rooted in trust and authenticity. Our teams are led by talented and dynamic leaders whose care and integrity brought the whole organization to the path of success.