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 GCP 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)

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 www.accenture.com 

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.