FIRST - Best in Sports Logo

FIRST - Best in Sports

Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Sofia, Sofia-grad
Mid level
Remote or Hybrid
Hiring Remotely in Sofia, Sofia-grad
Mid level
The Data Engineer will design and maintain data pipelines, improve data architecture, and develop tools for efficient data processing across the organization.
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FIRST. Best in Sports is a dynamic and innovative global technology company that provides B2B SaaS solutions for online sports platforms.

We are at the forefront of innovation, empowering gaming partners with revolutionary sportsbook solutions. Our cutting-edge sportsbook software, premium data feeds, and unwavering commitment to partner success are reinventing the gaming industry. We offer a dynamic and inclusive work environment where employees are empowered to make a difference and drive our company's success.

About the role

We are looking for a Data Engineer to help build and scale our data platform. You will design and maintain data pipelines, improve data architecture, and develop tools that enable reliable and efficient data processing across the organization.
 
Responsibilities

  • Build and maintain batch and streaming data pipelines with a focus on scalability and performance
  • Improve and refactor existing workflows using BigQuery, PySpark, Workflows, and DataStream
  • Develop Python-based tools and services for data processing and infrastructure management
  • Design and optimize data models and schemas to improve accessibility and query performance
  • Collaborate with engineers and analysts to build event-driven and metadata-driven data systems

Required Skills

  • Strong Python and SQL skills (data modeling, query optimization)
  • Experience with Google Cloud Platform (GCP) or another cloud provider
  • Experience with data warehouse architecture and ETL/ELT pipelines
  • Familiarity with Apache Spark or distributed data processing frameworks
  • Experience with Git and basic CI/CD practices
  • Ability to collaborate effectively in English

Nice to Have

  • Experience with BigQuery, PostgreSQL, Airflow, or Dataflow
  • Experience supporting BI or ML workflows
  • Familiarity with Terraform or infrastructure automation
  • Experience with Pub/Sub, Kafka, or event-driven systems
  • Experience with Docker and Kubernetes fundamentals
  • Knowledge of async, multiprocessing, or multithreading in Python

What we offer

  • An open-minded environment that values you
  • An international multicultural team
  • An amazing office environment
  • Food vouchers (95 EUR)
  • Additional health insurance
  • Multisport card
  • 21 days paid leave
  • Flexible working hours
  • Manicure, massage, breakfast, and snacks in the office
  • Wedding and new baby bonus
  • Team building activities


If you are interested in joining our diverse and dynamic team, we are looking forward to your application. Only short-listed candidates will be contacted.
Confidentiality of all applications is assured!

By submitting your application, you explicitly consent, in accordance with Regulation (EU) 2016/679 (General Data Protection Regulation), to the processing of the personal data contained in your CV, resume, and/or motivational letter strictly for the purposes of the recruitment and selection process conducted by the Company. By applying to this job offer, you also freely and expressly consent to the Company storing your personal data and considering your application for future employment opportunities, in accordance with the Company’s data retention policy and applicable legal requirements. You may withdraw your consent to the processing and/or storage of your personal data at any time, without affecting the lawfulness of processing based on consent before its withdrawal, by contacting sending an email request to the following address[email protected]

Why we need to process your personal data for another term:

  • to be able to contact you when we have a suitable position that matches your profile;
  • to be able to send you job offers which might be interested for you;
  • to contact you directly, without needing you to go again through the whole selection procedure.

What we will continue to store for you?

  • Your name, email, telephone number, social media profile link/s, picture from your CV;
  • Your professional experience;
  • Your skills, language proficiency, special info from your CV, sent by you.

Top Skills

Airflow
Spark
BigQuery
Dataflow
Datastream
Docker
Google Cloud Platform (Gcp)
Kubernetes
Postgres
Python
SQL

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