Senior GCP Data Engineer (Cloud Data Engineering)

Stack

Responsibilities

• ▹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
• ▹Define data models, patterns, and automation frameworks including orchestration and data lifecycle governance
• ▹Translate business and analytical requirements into robust cloud architectures, collaborating with solution architects, data modelers, and global delivery teams
• ▹Ensure data quality, security, observability, and compliance across the pipeline
• ▹Apply DevOps and CI/CD practices (Git, pipelines, IaC, automated testing)
• ▹Mentor junior and mid-level engineers and promote best practices
• ▹Stay on top of emerging trends in cloud data engineering, big data processing, serverless computing, and AI/ML platform capabilities

Requirements

• ▹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 Azure (ADF, Synapse, Databricks) or AWS (Glue, Redshift, EMR) background with readiness to transition into GCP
• ▹Strong mastery of big data/analytics platforms such as BigQuery, Snowflake, Redshift, Synapse, or Databricks
• ▹Advanced proficiency in SQL and Python, including 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)

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 learning platforms, paid certifications
• ▹Flexible working conditions, home working allowed
• ▹Attractive base salary and wide range of benefits including cafeteria, bonuses, private health insurance, life insurance, AYCM sport card, referral bonus, family-oriented benefits, discounted company shares

About the company

Accenture is a leading global professional services company in strategy and consulting, interactive marketing, IT, and business operations, with more than 790,000 employees serving clients in over 120 countries.