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Senior Manager, Data Engineering



Data Science
Posted on Thursday, April 11, 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 seeking an experienced Data Engineering Manager to lead our Data Platform team in Sofia. This pivotal role involves directing a team of talented engineers in the design, development, and maintenance of our cutting-edge data infrastructure. The successful candidate will spearhead our data platform strategy, leveraging advanced technologies such as Snowflake and Databricks to foster efficient data processing, analytics, and insights generation. This is a unique opportunity to drive innovation, collaborate with diverse teams, and contribute significantly to Paysafe's growth and success.

What to expect:

  • Lead and mentor a team of data engineers and platform specialists, fostering a culture of innovation and continuous improvement.
  • Define and implement the technical roadmap for our data platform, ensuring alignment with our business goals and adherence to industry best practices.
  • Architect scalable, reliable, and high-performance data solutions using Snowflake, AWS, Azure, and Databricks.
  • Work closely with stakeholders to gather data requirements and transform them into actionable technical strategies.
  • Utilize Snow pipe for automated, efficient, and continuous data ingestion into Snowflake, enabling real-time data analysis and decision-making.
  • Leverage Snowpark to build and execute scalable data pipelines and machine learning models directly within Snowflake, enhancing data processing capabilities and supporting advanced analytics applications.
  • Design, develop, and maintain efficient and reliable ETL processes within Snowflake, ensuring optimal data loading and transformation to support analytical and operational reporting needs.
  • Implement best practices for Snowflake ETL development, including streamlining data ingestion pipelines, automating data flows, and optimizing data storage and retrieval.
  • Manage the deployment and operation of data pipelines, ETL processes, and data lakes, ensuring their reliability and efficiency.
  • Develop and enforce robust data governance, security protocols, and compliance standards across the data platform.
  • Promote and implement continuous improvement initiatives to enhance the performance, reliability, and efficiency of our data infrastructure.
  • Stay abreast of the latest in data engineering technologies, trends, and best practices, integrating innovative solutions into our data ecosystem.
  • Implement and manage real-time data integration and replication processes using Oracle Goldengate, ensuring high availability, disaster recovery, and seamless data synchronization across diverse environments.
  • Utilize Oracle Data Integrator (ODI) for designing and implementing efficient data integration processes, leveraging its E-LT capabilities to enhance data transformation and load performance across heterogeneous systems.
  • Optimize Oracle Goldengate configurations to enhance data flow efficiency, minimize latency, and support complex data transformation requirements.

To be successful you need to have:

  • Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
  • Extensive experience in a leadership role within data engineering, with a proven track record of managing high-performing teams.
  • Deep expertise in cloud technologies (AWS, Azure, Google Cloud) and cloud-based data services.
  • Strong proficiency in Snowflake, including data modeling, optimization, and administration.
  • Hands-on experience with big data technologies (Databricks, Apache Spark, Hadoop).
  • Proven experience with Oracle Data Integrator (ODI) for data integration and transformation, demonstrating a strong understanding of its architecture is a plus.
  • Solid understanding of software development life cycles, DevOps practices, and CI/CD methodologies.
  • Exceptional communication and collaboration skills, capable of engaging effectively with various stakeholders.
  • Strategic mindset with excellent problem-solving and decision-making capabilities.
  • Ability to thrive in a dynamic and fast-paced environment, managing multiple priorities and projects simultaneously.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Knowledge of data streaming technologies (e.g., Apache Kafka, Apache Flink).
  • Familiarity with machine learning and AI technologies for data analysis and predictive modeling is a plus.

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.

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.