Data Ops Engineer

About us: 

When we started myPOS we believed that all businesses and entrepreneurs should be able to leverage the power of card payments and modern technology to grow and thrive. Now we are proud to say that 10 years later we brought that belief to life, with offices in various European countries, over 170,000 clients and a strong team of talented professionals, myPOS is creating the future of payments

myPOS is at the forefront of fintech innovation, offering a comprehensive array of payment solutions, including acquiring, issuing, POS devices, and card schemes integration. As we navigate through a significant period of growth and technological advancement, we aim to establish a cutting-edge platform. Central to this initiative is the development of a lakehouse architecture on a leading cloud provider to ingest, transform, and utilize data to propel our business growth.

Job Description:

We are seeking a Data Ops Engineer with a strong background in cloud technologies, preferably Google Cloud, to join our team. This role is critical in building and maintaining a scalable, efficient, and highly available data operations environment. You will collaborate closely with data engineers and other IT professionals to streamline data workflows, ensuring optimal data quality and accessibility.

Key Responsibilities:

• Design and implement robust data operations frameworks and processes to support data ingestion, transformation, and storage.
• Manage and optimize data pipelines for performance and scalability.
• Implement monitoring, logging, and alerting tools to ensure the health and availability of the data platform.
• Work closely with data engineers and analysts to ensure seamless data integration and accessibility.
• Automate deployment, scaling, and management of data infrastructure using infrastructure as code (IaC) principles.
• Enforce data governance, security standards, and compliance across all data operations.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years experience in a Data Ops or similar role, with a proven track record in managing data operations in a cloud environment.
• Strong expertise in Google Cloud Platform (GCP) services related to data management (BigQuery, Dataflow, Dataproc, Pub/Sub, etc.).
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
• Knowledge of data pipeline and workflow management tools.
• Solid understanding of data governance, security, and compliance best practices.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Desired Competencies:

• Certification in Google Cloud Data Engineering or similar credentials.
• Strong communication skills and the ability to work collaboratively across functional teams.
• A proactive approach to identifying and resolving issues before they impact business operations.

What we’ve got to offer:

• Inclusive workplace fueled by creativity and teamwork
• Friendly hi-tech environment.
• 25 days Annual paid leave (+1 day per year up to 30).
• Promotions and a salary review based on performance.
• Quarterly performance-based opportunities
• Full “Luxury” package health insurance including dental care and optical glasses.
• 160 lv. per month for lunch and snacks (8 lv. per day)
• Exciting teambuilding events on a multi-national level
• Onsite fitness, bowling, and relax areas (Varna) or Multisport card (Sofia)
• Did we mention free coffee, snacks and drinks at the office?

How to Apply:

Please submit your resume along with a cover letter detailing your experience in data operations, particularly in cloud environments, and any relevant certifications.

Your application will be reviewed in utmost confidentiality following the General Data Protection Regulation. All personal information will be collected only for the purpose of the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted, so keep it tight and fresh – good luck to all of you!