Senior Azure Databricks Engineer at ACCENTURE Kft. – Budapest | Jobyssey

5+ years of experience as a data engineer or similar role with exposure to cloud-based data platforms and modern data architectures
Hands-on experience building and managing data pipelines using Azure Databricks (PySpark + SQL) in production environments
Strong understanding and practical experience with data modeling, data warehousing / lakehouse architecture including dimensional modeling and star/snowflake schemas
Proven track record in data governance, metadata management, and ensuring data quality at scale
Experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks)
Excellent programming and query skills in SQL and Python or another relevant language
Strong analytical and problem-solving skills
Excellent communication skills for explaining complex technical issues to non-technical stakeholders and collaborating across teams
Self-motivation, responsibility, and capability of working independently and as a technical leader in a structured data platform environment

Prior experience working in regulated domains or sectors with strong compliance requirements such as Finance, Asset Management, Pensions
Previous involvement in platform modernization or cloud migration projects
Familiarity with additional big data / data-engineering tools and patterns beyond Spark / Databricks including streaming, real-time data ingestion, advanced orchestration, metadata tooling, monitoring and alerting
Experience mentoring or leading smaller data engineering teams or peers and championing best practices, code reviews, architecture governance
Familiarity with CI/CD for data workflows, preferably with Azure DevOps or similar, including infrastructure-as-code such as Terraform or ARM templates
Experience with Azure Data Services such as ADF, ADLS, Synapse or comparable cloud data services
Employment of infrastructure-as-code to provision, manage, and version cloud infrastructure and data platform resources

Participation in full-cycle and diverse international projects
Opportunity to work as a specialist or manager/team lead
Constant career development with internal mentorship
Access to a whole set of learning platforms and paid certifications
Flexible working conditions including home working
Attractive base salary
Wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price

Senior Azure Databricks Engineer

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