5 дней назад
Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Fintech): Building and operating scalable data pipelines, data infrastructure, and MLOps automation for payment products with an accent on data quality, security, cloud processing, and analytics-ready datasets. Focus on optimizing Spark and SQL workloads, designing reliable ingestion and orchestration, and implementing governance, observability, CI/CD, and model lifecycle controls.
Location: Sofia, Bulgaria (office) or Varna, Bulgaria (hybrid)
Company
develops payment, multicurrency account, e-commerce, and financial technology solutions for businesses.
What you will do
- Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations.
- Design and evolve scalable data architecture and cloud-based data infrastructure.
- Deliver curated, analysis-ready datasets in partnership with analysts and data scientists.
- Implement data quality, testing, monitoring, lineage, reliability, access controls, auditability, and governance practices.
- Optimize workflows for performance, cost, and scalability, including Spark jobs, queries, and partitioning strategies.
- Build and maintain MLOps automation covering CI/CD, environments, artifacts, and versioning of data, models, and code.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 3+ years of experience building and maintaining production-grade data pipelines and datasets.
- Strong Python and SQL skills, including data structures, performance, and ETL/ELT optimization.
- Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows and distributed processing in a cloud environment.
- Experience with at least one major cloud provider: GCP, AWS, or Azure.
- Strong troubleshooting, collaboration, and communication skills across engineering, analytics, and business stakeholders.
Nice to have
- GCP ecosystem experience with BigQuery, Composer, Dataproc, Cloud Run, Dataplex, or Cloud Storage.
- Experience with incremental ingestion from databases and APIs, analytical data modeling, data warehouses, and dimensional concepts.
- Knowledge of CI/CD, Terraform, DataOps, observability, data governance, and model monitoring.
Culture & Benefits
- International team working in a high-tech environment.
- Annual salary reviews, promotions, performance bonuses, and training opportunities through Academy and LinkedIn Learning.
- Annual individual training and development budget.
- 25 days of annual paid leave, increasing to 30 days.
- Health insurance with dental and optical coverage, meal vouchers of 102.26 EUR per month, Multisport card, and public transport pass for Sofia.
- Team-building activities, social events, office refreshments, and a referral bonus.
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