GCP Data Engineer (Cloud Data Engineering)

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Accenture Korlátolt Felelősségű Társaság
Munkavégzés helye

Hibrid • Budapest

Egyéb juttatások
- Cafeteria
- Egészségbiztosítás
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- CLOUD ANALYTICS BI GIT TESTING AZURE AWS SQL PYTHON ACCESS MACHINE LEARNING TROUBLESHOOTING
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage
Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use cases
Build and deploy scalable, reliable data solutions using CI/CD pipelines, Git-based workflows, and infrastructure-as-code tools (e.g., Terraform)
Collaborate with cloud architects, data modelers, and business analysts to translate data requirements into technical solutions
Support testing, documentation, monitoring, and troubleshooting to ensure smooth and stable operation of data workloads
Contribute to engineering best practices, code reviews, technical standards, and knowledge sharing within the wider cloud data community

Requirements

2–5 years of experience in Data Engineering or Cloud Development, preferably with exposure to modern data pipelines and distributed processing
Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Dataproc, Composer) — or strong skills in Azure (ADF, Synapse, Databricks) or AWS (Glue, Redshift, EMR) with a willingness to deepen expertise in GCP
Solid understanding of cloud data architectures, including ingestion patterns, transformation frameworks, workflow orchestration, and storage optimization
Experience working with big data/analytics platforms such as BigQuery, Snowflake, Redshift, Synapse, or Databricks
Proficiency in SQL and practical experience with Python for data processing, automation, or pipeline development
Exposure to ETL/ELT tooling or cloud-native integration services (ADF, Glue, Composer/Airflow, SSIS, Talend, Informatica)
Familiar with CI/CD concepts, version control, and automated deployment practices (Git, pipelines, IaC)
Strong problem-solving mindset, ability to work in distributed teams, and clear technical communication
English proficiency at B2+; German is a plus
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

What we offer

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

Company info

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.