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Senior Data Engineer



Data Science
Posted on Thursday, June 13, 2024

Paysafe Limited (“Paysafe”) (NYSE: PSFE) (PSFE.WS) is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 25 years of online payment experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments.

Further information is available at www.paysafe.com.

Paysafe is actively seeking a Senior Data Engineer. This pivotal role is dedicated to harnessing state-of-the-art data processing technologies such as Snowpark, Snow pipe, Apache Spark, and Databricks Delta Live Tables. The successful candidate will play a key role in evolving, deploying, and overseeing our advanced data infrastructure, pivotal for extensive data processing, analytics, and business intelligence functions. Demonstrating profound knowledge in cloud-native tools and platforms including AWS, Azure, Oracle, Snowflake, and Databricks, the Senior Data Engineer will also excel in deploying advanced data integration techniques utilizing cloud-native ETL tools (e.g., AWS Glue, Azure Data Factory) and Oracle Data Integrator (ODI).

What you will do:

  • Lead the architecture and development of scalable data solutions across both batch and streaming platforms, optimizing the use of cloud technologies (AWS or similar) to meet business and technical demands, including real-time data processing.
  • Analyze complex data elements and systems, engaging in the development of conceptual, logical, and physical data models, along with the validation and execution of ETL/ELT mappings and transformation logic.
  • Craft and peer review data models and schemas, enhancing new and current data sources for the data warehouse, ensuring efficiency and scalability.
  • Conduct thorough unit, integration, and system testing of data sources to ensure data integrity against source systems, aiming for continuous performance optimization.
  • Innovate with Snowflake’s Snowpark and Snowpipe to architect scalable data management solutions, facilitating real-time data ingestion.
  • Leverage Apache Spark for comprehensive data processing and analytics, enhancing data workflow efficiency and scalability.
  • Implement Databricks Delta Live Tables to automate and ensure data ETL processes, maintaining data quality and consistency for real-time analytics.
  • Maintain high-performance data pipelines, making extensive use of AWS, Azure, and Databricks, along with seamless integration with Oracle Data Integrator (ODI).
  • Utilize cloud native ETL tools to streamline data integration and transformation across diverse data platforms.
  • Develop sophisticated data transformations and machine learning models within Snowflake using Snowpark to boost analytics capabilities.
  • Ensure the availability of real-time data and analytics through efficient configuration and optimization of Snowpipe.
  • Collaborate with business stakeholders and IT departments to transform business needs into technical specifications and practical data models.
  • Uphold data governance, security, and compliance standards across all data platforms and tools.
  • Remain abreast of emerging trends and technologies in data engineering, promoting innovative solutions that propel the data strategy.

To be successful you need to have:

  • Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
  • Proven expertise in data processing and analytics using Apache Spark, with hands-on experience in Databricks Delta Live Tables for managing real-time data.
  • Proficiency in Snowflake, including mastery of Snowpark and Snowpipe, paired with experience in cloud native ETL tools (AWS Glue, Azure Data Factory, Google Cloud Dataflow).
  • Comprehensive background in Oracle, Snowflake, Databricks, and Oracle Data Integrator (ODI) for in-depth data integration and processing.
  • Strong programming skills in SQL, Python, Java, or Scala, with the capability to develop intricate data models and algorithms.
  • In-depth knowledge of data warehousing, data modeling, and data lake concepts within a cloud environment.
  • Exceptional problem-solving skills, complemented by the ability to work both independently and collaboratively.
  • Outstanding communication skills, with proficiency in engaging with both technical and non-technical team members.

We offer in return:

  • The opportunity to write the history of a leading and growing multinational company
  • Tailor-made training and ongoing development to help you enhance your skills in the field of online payments
  • Multiple career progression opportunities in a dynamic in-house business
  • Environment where product expertise, professional and personal commitment are rewarded
  • Competitive remuneration and social benefits package (25 days annual paid leave, health insurance, sports card, team events, company discounts, variety of soft skills, business and technical training programs)
  • Fun and collaborative working atmosphere
  • Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our Sofia office as part of our hybrid work model.

With offices in USA, EU, and the UK, Paysafe offers individuals an opportunity to join a fast-moving global company with energy, passion and drive, committed to developing world-class online financial solutions.

We take pride in our employees and offer excellent remuneration and benefits, as well as a positive, rewarding and fun work environment.

Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion.

Send your CV in English.
Only shortlisted candidates will be contacted for an interview.

Wondering how our interview process looks like now? Learn more here: https://bit.ly/paysafeinterviews

Equal Employment Opportunity

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.