Data Engineer

 Бланкфактор ЕООД

Бланкфактор ЕООД

Blankfactor е глобален доставчик на управлявани услуги (Managed Services, MSP) в сферата на Fintech. Компанията има разработен собствен продукт, а на клиентите си предоставя цялостни Full Stack решения. Blankfactor стартира през 2015 от Маями, Флорида като бизнес начинание на двама дългогодишни партньори и приятели - Лъчезар Христов - настоящия СТО, и Майк Уеар – CEO на компанията. На българския пазар е от 2021. 

Валидност на обявата
20.09.2022 - 19.10.2022
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Who We Are

Blankfactor is a global service provider. We offer mission-critical full-stack development, management, and consulting services to supplement our clients' teams or manage end-to-end delivery of custom software solutions. Headquartered in the United States, we have offices in Bulgaria, Colombia, Costa Rica, and Canada. Our culture anchors on expertise, excellence, and care for our talent and our clients.




What You'll Do

We are looking for a Data Engineer to join our team. In this role, you will be designing robust data systems to create solutions and offer design approaches. You will be involved in a data lake design and will collaborate with team members to deliver timely solutions. Responsibilities include collaborating and mentoring junior personnel and also, when needed, supporting client users to transform data into action-oriented information and helping others be successful stewards of tools. Successful candidates demonstrate skills in analytics solutions and a passion for data. Our team uses the industry's best practices while producing high-quality full-stack solutions in a collaborative, agile, results-driven environment to meet our clients' business needs. You will be part of a work culture where teamwork is encouraged, excellence is rewarded, and diversity is respected and valued.



  • Support Data Warehouse projects, including build-out of Dimensional Models (Star/Snowflake Schema)
  • Perform data analysis activities to capture data requirements clearly, completely, and correctly
  • Represent data in a formal and visual way through data models
  • Work through early stages of the software lifecycle to profile data and to create conceptual, logical & physical data model designs with appropriate structure and relationships for optimal performance
  • Work in a fast-paced environment that develops, implements, and maintains mission-critical information systems

Requirements and Technical Skills

  • BS/MS or greater in a quantitative field of study (Computer Science, Information System, Business Analytics, Engineering, Mathematics, Statistics, Marketing Analytics etc.) and at least two (2) years of relevant experience
  • Experience in large-scale data science, warehousing, and analytics projects using Redshift, Snowflake DB, Oracle and/or SQL Server databases
  • Knowledge of data technical architecture, infrastructure components, ETL/ELT, reporting/analytic tools & microservices
  • Skills in reporting tools such as PowerBI, Tableau, and/or Looker
  • Experience with AWS cloud using Kinesis, Lambda, DynamoDB, Athena, ECS, EKS, etc.
  • Experience using R/Python in data-focused full-stack environments (from data wrangling to analysis, to visualizations) is a plus
  • Experience working with consumer-based clickstream, web behavioral data, and content data is a plus


What we offer


  • Wide-ranging and sophisticated projects, with access to excellent professionals, international clients, and the latest technologies;
  • Highly competitive salary;
  • Space to develop and advance professionally in a fast-developing company;
  • Hybrid (in office and remote) work setup;
  • Paid official Bulgarian holidays and extra vacation days based on seniority;
  • Premium private health insurance coverage;
  • Multisport card subscription;
  • Dedicated budget for personal development (courses, training, workshops, educational materials, etc.);
  • Snacks, drinks, and laid back office environment;
  • Covered daily lunch in NV Tower’s restaurant;
  • Access to all future programs we set up for our employees.

We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.

Please be advised, that only the shortlisted candidates for this role will be contacted!

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