1 день назад
Data Engineer
2 800 - 4 550€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (BigQuery/Airflow): Building and maintaining cloud-based data pipelines and a centralized Data Warehouse for reliable, scalable, and auditable financial data with an accent on BigQuery data marts, incremental loading, and data governance. Focus on designing ODS and Data Mart architecture, optimizing data flows and queries, and investigating data quality issues and financial discrepancies.
Location: Worldwide; fully remote, office-based, or hybrid work options available
Salary: EUR 2,800–4,550 gross per month; final compensation depends on experience, location, and professional growth
Company
Provides software engineering services and supports projects across financial services, healthcare, retail, telecom, and other industries.
What you will do
- Gather and clarify requirements with analytics and finance stakeholders.
- Design and evolve Data Warehouse architecture, including ODS and Data Marts, with audit requirements in mind.
- Develop and maintain cloud-based financial data pipelines, including incremental pipelines.
- Build and optimize BigQuery data marts using Dataform.
- Analyze source systems and create data flows from source to consumption.
- Maintain Airflow workflows and participate in testing, data validation, releases, data quality investigations, and audit documentation.
Requirements
- 3+ years of experience as an Analytics Engineer, DWH Engineer, or Data Analyst working with Data Warehouses.
- Strong understanding of Data Warehouse architecture, ODS and Data Mart layers, incremental loads, historical data handling, and deduplication.
- Strong SQL skills and hands-on experience designing and optimizing data marts.
- Experience with BigQuery, including partitioning, clustering, and cost-aware querying, plus Airflow or similar orchestration tools.
- Hands-on Python experience for data processing and ETL tasks, along with Git proficiency.
- Experience with data quality, data governance, SLAs, and stakeholder communication; English at Intermediate+ level or above.
Nice to have
- Experience with Google Cloud Platform, Dataform, and Cloud Storage.
- Experience with Kafka-based streaming pipelines, schemas, and delivery guarantees.
- Experience with Spark, Apache Beam, Looker, or Tableau.
- Experience with financial data, financial reporting, audits, or regulatory requirements.
- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or Claude.
Culture & Benefits
- Opportunities to change projects and develop expertise in different business domains.
- Mentoring and onboarding support for new employees.
- Access to a continuously updated corporate training portal.
- Certification compensation, including AWS and PMP certifications.
- Private health insurance and sports activity compensation.
- Corporate events, referral program, and additional annual bonus opportunities of up to EUR 1,000 per month based on expertise and participation in company activities.
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