Roles:
Data
Must-have skills:
PythonSQL
Considering candidates from:
Central Asia, Europe, South Caucasus, Belarus, Moldova, Russia and Ukraine
Central Asia, Europe, South Caucasus, Belarus, Moldova, Russia and Ukraine
Work arrangement: Onsite
Industry: Insurance
Language: English
Level: Middle
Required experience: 2+ years
Relocation: Paid
Visa support: Provided
Size: 501 - 1000 employees
Company
CoverWallet, an Aon company, is the leading digital insurance platform for small and medium-sized businesses. They are dedicated to making insurance simple, fast and convenient so that businesses around the world can get the protection they need and get back to what matters most - growing and managing their business. Powered by deep analytics, thoughtful design, and state-of-the-art technology, CoverWallet is reinventing the $200 billion commercial insurance market for small and medium-sized businesses.
Description
They are currently looking for a Data Engineer. You will be working closely with both Data Analysts/Scientists and Data Engineers and will be responsible for building robust analytical platforms to support data-driven initiatives across the company. The position is open in Madrid and Valencia.
Tasks:
Tasks:
- Building out the data model using dbt (Data Build Tool) to increase the velocity of their Analytics Team creating new core data objects and data transformations to make it easier for their Data Analysts/Scientists to query, work and understand their data
- Implementing a data quality validation process to ensure their data platform delivers accurate insights to their business stakeholders
- Participating in the definition and development of their ETL/ELT workflows by partnering with their Data Engineering team
Must-have:
- 3+ years of experience in data roles
- Good Python programming skills
- Experience with data platform development, including upstream requirements, data model, designed data workflows, etc.
- Experience working with multiple data platform components, including reporting tools (Looker, Tableau, etc.) and data transformation systems (Airflow, dbt)
- Proficiency in SQL and the ability to own data transformations
Nice-to-have:
- Experience in data warehousing such as Redshift, or Snowflake
- Comfortable driving multiple stages of data tools project cycle, e.g. identification of data platform problems-to-be solved, solution evaluation (buy vs. build), proof-of-concept, and final solution implementation
- Experience working in Agile environments, preferably with Jira and Asana and ability to work in a fast-paced environment
Benefits:
- The possibility to disrupt one of the biggest industries, and in one of most developed digital markets in the world
- Competitive and flexible compensation (tickets restaurant, transport card, daycare checks)
- Annual variable bonus
- Company-paid Life and Accident Insurance, and Medical insurance including dental care as benefits
- 23 days of vacation per year + 2 personal days
- Flexible working hours
- A fun, multicultural and fast-paced environment
- A retreat to New York City
Interview Process:
- Intro call with Toughbyte
- 15 min cultural fit interview
- 2 technical interviews
- Final interview