Data 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 stands as a leading innovator in the fintech space, delivering a wide range of payment processing solutions. In line with our strategic expansion, we are developing a new, advanced platform that leverages a lakehouse architecture on a premier cloud provider. This initiative aims to ingest, transform, and leverage data to fuel our business acceleration.

Job Description:

We are on the lookout for a Data Engineer with expertise in cloud technologies, preferably Google Cloud, to play a crucial role in architecting and implementing our data infrastructure. This position involves designing and building scalable and reliable data pipelines, ensuring the data is accessible and usable for driving business insights and decisions.

Key Responsibilities:

Design, construct, and manage data pipelines for data ingestion, transformation, and distribution.

Develop and maintain scalable and reliable data architecture to support business requirements.

Collaborate with data scientists and analysts to provide data in a ready-to-use form for analysis and insights generation.

Implement best practices for data quality, reliability, and efficiency.

Optimize data workflows and processes for maximum efficiency and scalability.

Ensure data security and compliance with relevant data protection regulations.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical field.

Minimum of 5 years experience as a Data Engineer, with significant exposure to cloud-based data solutions.

Expertise in Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Cloud Storage).

Proficient in programming languages relevant to data engineering (e.g., Python, SQL).

Experience with data modeling, warehousing, and ETL processes.

Familiarity with data governance and compliance standards.

Desired Competencies:

Google Cloud Professional Data Engineer certification or similar.

Strong analytical and problem-solving abilities.

Excellent teamwork and communication skills, with the ability to collaborate effectively across different teams.

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:

Interested candidates should submit a detailed resume and a cover letter explaining their qualifications and how they can contribute to the success of our new data platform.

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!