Senior Manager, Data Engineering

Paysafe is a global payments platform powering the experience economy, with a strong focus on the iGaming, video gaming, e-commerce, retail, travel and hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across 12 countries and annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences. 

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 AWS 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 Oracle.
• 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.

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 Data Warehousing such as data modeling, optimization, and administration
• Hands-on experience with big data technologies (Apache Spark, Hadoop).
• Proven experience with Data Integration, Ingestion and Orchestration tools like AWS Glue, DBT, Azure Data Factory, AirFlow. Expertise on Oracle Data Integrator (ODI) will be considered 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.
• Knowledge of data streaming technologies (e.g., Apache Kafka, Apache Flink) and Experience with containerization and orchestration tools such as Docker and Kubernetes will be considered plus.
• Familiarity with machine learning and AI technologies for data analysis, ETL/ELT pipelines and predictive modeling.

The Senior Manager, Data Engineering, will report to Senior Director and is expected to abide by all internal company regulations and maintain high professional ethics. This role requires a high degree of collaboration with various internal teams and external providers or business partners.

The successful candidate will be expected to lead the data quality, analytics and actionable insights, metrics program throughout the group, proactively engage with stakeholders, and monitor and improve the quality of master and reference data. This role requires a deliverable-focused individual with a hands-on mindset, can-do attitude, and transparency in issue tracking and problem-solving.

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, 4 days paid volunteering time a year through our Paysafe Giving initiative, 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.