Senior GCP Data Engineer

• 5+ years of hands-on experience building complex, production-grade data solutions.
• 3+ years of dedicated experience within the Google Cloud Platform ecosystem.
• Proven track record with BI/ETL and Big Data technologies.
• Strong understanding of relational database design and big data architectural patterns.
• Experience with real-time data processing and sophisticated data warehousing aggregation.
• Deep understanding of Data Fabric, Data Mesh, and Data Vault methodologies.
• Ability to lead technical discussions and explain complex architectural choices to stakeholders.

We are looking for a Senior Data Engineer to join our team and lead the design and implementation of high-performance, scalable data architectures. You will be a key player in shaping our data ecosystem, leveraging the full power of Google Cloud Platform (GCP) to solve complex business challenges.

Tech stack:

• Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, etc.)
• BI/ETL Tools & Big Data Technologies
• Relational Databases (SQL) & NoSQL/Big Data storage
• Data Vault 2.0, Data Mesh, Data Fabric

About Spyrosoft

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

,[Design and develop end-to-end, complex data solutions and ETL/ELT pipelines., Utilize GCP services to manage big data workloads and real-time processing., Implement data warehousing aggregations and real-time streaming solutions., Facilitate design discussions, document architectural decisions, and ensure best practices across the data lifecycle., Apply Data Vault, Data Mesh, and Data Fabric principles to create a future-proof data environment.] Requirements: Google Cloud Platform, Google cloud, Cloud platform, BI, ETL, Relational database, Vault