5 дней назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI/Fintech): Building and operating scalable data pipelines, data infrastructure, and analysis-ready datasets for a payments platform with an accent on data quality, cloud processing, governance, and MLOps automation. Focus on optimizing Spark and query workloads, designing reliable incremental ingestion, and implementing CI/CD, model versioning, monitoring, and secure data handling.
Location: Sofia, Bulgaria — office; Varna, Bulgaria — hybrid
Company
provides payment, multicurrency account, and e-commerce solutions that help businesses manage and grow their operations.
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 deliver curated, analysis-ready datasets for analysts and data scientists.
- Implement data quality, testing, monitoring, lineage, reliability, access control, auditability, and governance practices.
- Optimize Spark jobs, queries, partitioning strategies, workflows, cost, and system scalability.
- Build and maintain MLOps automation, including CI/CD for machine learning, environment management, artifact handling, and versioning of data, models, and code.
- Contribute to documentation, engineering standards, troubleshooting, and continuous improvement of the data platform.
Requirements
- 6+ years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong Python and SQL skills, including data structures, performance, and optimization strategies.
- Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows, plus distributed processing in a cloud environment.
- Experience with analytical data modeling, data warehouses, ETL/ELT patterns, dimensional concepts, and incremental ingestion from databases and APIs.
- Experience with at least one major cloud provider, CI/CD, Terraform or other infrastructure-as-code practices, and troubleshooting across data, infrastructure, pipelines, and deployments.
Nice to have
- Strong GCP ecosystem experience, including BigQuery, Composer, Dataproc, Cloud Run, Dataplex, or Cloud Storage.
- Knowledge of data governance, access control, retention, classification, auditability, and compliance standards.
- Experience with observability for data systems, including metrics, alerting, data quality checks, and incident response.
- Knowledge of model monitoring concepts such as drift, data quality issues, performance degradation, bias checks, and alerting strategies.
Culture & Benefits
- International team working in a technology-focused environment.
- Annual salary reviews, promotions, performance bonuses, and an annual individual training and development budget.
- Academy and unlimited access to LinkedIn Learning courses.
- 25 days of annual paid leave, increasing by one day per year up to 30 days.
- Health insurance with dental and optical coverage, meal vouchers worth 102.26 EUR per month, and a fully covered Multisport card.
- Fully covered public transport pass for Sofia, plus team-building and social activities.
Hiring process
- Submit a CV in English through the application form.
- Applications are reviewed confidentially, and only shortlisted candidates are contacted.
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