Senior Data Engineer (Cloud Data Engineering
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 6th on the Great Place to Work® World’s Best Workplaces™.
Join our Cloud Data Engineering practice in Budapest and take a leading role in shaping next-generation data platforms for global enterprise clients.
As a Senior Data Engineer, you’ll architect, build, and evolve cloud-native data ecosystems that power analytics, automation, and AI workloads at scale.
This role blends hands-on engineering with technical leadership — ideal for experts who want to own delivery, guide others, and stay close to cutting-edge cloud technologies.
Scope of the position
Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability
Define data models, patterns, and automation frameworks for modern analytics ecosystems, including orchestration and data lifecycle governance
Translate business and analytical requirements into robust cloud architectures, collaborating closely with solution architects, data modelers, and global delivery teams
Ensure data quality, security, observability, and compliance across all stages of the data pipeline
Apply DevOps and CI/CD practices (Git, pipelines, IaC, automated testing) to ensure repeatable, high-quality delivery
Mentor and guide junior and mid-level engineers, promote best practices, and contribute to continuous improvement of the engineering community
Stay on top of emerging trends in cloud data engineering, big data processing, serverless computing, and AI/ML platform capabilities
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
Job Qualifications
5+ years of hands-on experience in data engineering, cloud data architecture, or advanced analytics platforms
Deep expertise with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Dataproc, Composer) — or strong background in Azure (ADF, Synapse, Databricks) or AWS (Glue, Redshift, EMR) with readiness to transition into a GCP-focused role
Strong mastery of big data/analytics platforms such as BigQuery, Snowflake, Redshift, Synapse, or Databricks
Advanced proficiency in SQL and Python, including experience building complex transformations, orchestration workflows, and automation scripts
Strong understanding of data architecture, performance optimization, distributed processing, and cloud-native design patterns
Experience leading technical workstreams, reviewing designs, and providing engineering direction in multi-cloud or hybrid environments
Solid grasp of CI/CD pipelines, infrastructure as code (Terraform), version control, and automated deployment practices
Excellent communication and collaboration skills with distributed teams
English proficiency at B2+; German is a plus
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Nice to Have
Experience with BI and reporting platforms (Power BI, Tableau, Qlik, Business Objects)
Knowledge of machine learning pipelines, data science workflows, or MLOps concepts on GCP or other clouds
Understanding of containerized workloads and orchestration (Docker, Kubernetes)
Budapest
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