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Роль четко сфокусирована на современной инженерии данных для банков, но консалтинговый формат может означать смену клиентских проектов и меньше постоянства, чем в продуктовой компании.
?Клиентские проекты
Актуальный стек
Банковская аналитика
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer - Databricks and Banking Solutions - Tieto Tech Consulting (m/f/d) (Databricks): Building scalable lakehouse platforms, ETL/ELT pipelines, and analytics-ready datasets for banking and financial services with an accent on Databricks, Spark/PySpark, Azure, data quality, and regulatory reporting. Focus on optimizing Spark workloads, modernizing legacy data platforms, implementing lineage and access controls, and solving complex data integration and governance challenges.
Location: Sofia, Bulgaria
Company
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering and consulting services to enterprises worldwide. The Bulgaria team has more than 500 professionals and is part of Tieto, a multinational technology company with approximately EUR 2 billion in annual revenue.
What you will do
Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL.
Build lakehouse and data platform solutions for banking and financial services.
Integrate data from enterprise and banking systems and transform requirements into reliable pipelines and data models.
Build analytics-ready datasets for financial and regulatory reporting.
Implement data quality, reconciliation, lineage, monitoring, access controls, and traceability for governed financial data.
Optimize Spark workloads, Delta tables, and pipeline performance while supporting legacy platform modernization and migration.
Requirements
At least 2 years of professional experience in Data Engineering or a similar role.
Strong SQL and Python/PySpark skills, with hands-on experience in Databricks and Apache Spark.
Experience developing ETL/ELT pipelines and data integration solutions.
Experience with Azure or another major cloud data platform.
Good understanding of data lakes, data warehouses, and data modeling.
Experience with data quality, testing, monitoring, and performance optimization.
Familiarity with Git, code reviews, and CI/CD practices.
Ability to translate business requirements into technical solutions and collaborate with architects, analysts, subject-matter experts, and customer stakeholders in an Agile environment.
Excellent spoken and written English required.
Nice to have
Experience and domain knowledge in banking or financial services.
Experience with data platform modernization, ETL, or data warehouse migration projects.
Certifications in Databricks, Azure, or AWS.
Experience working in international environments.
Culture & Benefits
Work in an Agile environment with data architects, BI developers, analysts, subject-matter experts, and customer stakeholders.
Inclusive workplace welcoming applicants of all backgrounds, genders, and walks of life.
Focus on diversity, equity, inclusion, openness, trust, and innovation.
Tieto communicates with candidates only through @tieto.com email addresses and does not request recruitment fees or financial details.
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