Senior Azure Databricks Engineer

Who we are Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries. Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™. About the Role We are seeking to our team in Budapest a Senior Azure Data Engineer Senior Data Engineer – Azure & Databricks (Cloud Data Platform) We are building a modern, scalable cloud data platform to power analytics, reporting, and advanced data-driven decision-making across our organization. As a Senior Data Engineer, you will play a pivotal role in designing and operating this platform — leading architecture, implementing best practices, ensuring data quality and governance, and driving continuous improvement. Your work will directly impact how the organization leverages data to deliver value. What You’ll Own — Key Responsibilities & Impact Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL) , integrating data ingestion, processing, transformation, and storage. Design and enforce data architecture standards: Delta Lake / Lakehouse architecture , data modeling (dimensional models, star/snowflake schemas), data warehousing or lakehouse solutions. Manage ingestion and orchestration using Azure Data Services — e.g., Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics , and related services for storage, compute, and analytics. Establish and enforce CI/CD pipelines for data workflows and infrastructure using Azure DevOps or equivalent tools, ensuring reliable, repeatable deployments and maintainability. Implement and uphold data governance, metadata management, and data quality practices — ensuring data integrity, consistency, and compliance across pipelines and systems. Monitor, troubleshoot, and optimize performance of data processing jobs (Spark/Databricks) — ensuring efficient, reliable, and performant data workflows even at scale. Collaborate with cross-functional teams — data analytics, product, business stakeholders, compliance — to understand requirements, deliver data solutions, and explain complex technical concepts clearly to non-technical audiences. Proactively research, evaluate, and adopt new data/cloud technologies and best practices; champion continuous improvement, scalability, and long-term reliability of the data platform. Who You Are — Required & Preferred Qualifications 5+ years of experience as a data engineer (or similar), with significant exposure to cloud-based data platforms and modern data architectures. Proven hands-on experience building and managing data pipelines using Azure Databricks (PySpark + SQL) in real-world production environments. Strong understanding and practical experience with data modeling , data warehousing / lakehouse architecture (e.g. dimensional modeling, star/snowflake schemas, Delta Lake / Lakehouse). Proven track record in data governance, metadata management, and ensuring data quality at scale. Solid experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks). Excellent programming and query skills — strong SQL, Python (or another relevant language); ability to write clean, efficient, maintainable code. Strong analytical and problem-solving skills; ability to think at both micro (pipeline/job level) and macro (architecture/strategy) levels. Excellent communication skills: able to explain complex technical issues to non-technical stakeholders, collaborate across teams, and influence architectural decisions. Self-motivated, responsible, and capable of working independently and as a technical leader in a structured data platform environment. Preferred / Nice to Have: Prior experience working in regulated domains or sectors with strong compliance requirements (e.g. 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 — streaming, real-time data ingestion, advanced orchestration, metadata tooling, monitoring & alerting. Experience mentoring or leading smaller data engineering teams / peers; championing best practices, code reviews, architecture governance. Familiarity with CI/CD for data workflows , preferably with Azure DevOps (or similar), including infrastructure-as-code (Terraform / ARM templates). Experience with Azure Data Services such as ADF, ADLS, Synapse (or comparable cloud data services). Employ infrastructure-as-code (e.g. Terraform or ARM templates ) to provision, manage, and version cloud infrastructure and data platform resources. What we offer for you 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, paid certifications Flexible working conditions, home working is allowed Attractive base salary & Wide range of benefits included cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.