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GCP Data Engineer

Job Type:
Date Posted:
7 days ago
Expiry Date:
Job Ref:
Start Date:
Stavros Tsemekidis
Contact Email:
AI & Machine Learning

Position: Data Architect / Engineer

Salary: 50k - 80k EUR

Location: Thessaloniki or Athens (can be mainly remote with some travelling to either city)


Xcede is partnered with an international telecommunications company that is looking to hire two skilled candidates to work as either data architects or engineers.


Job Responsibilities:


  • Design and implement robust cloud architectures on Google Cloud Platform, ensuring alignment with business requirements for scalability, reliability, and performance
  • Collaborate with cross-functional teams to integrate data solutions seamlessly into the GCP environment
  • Demonstrate proficiency in Google Cloud Platform services, including Compute Engine, Kubernetes Engine, Cloud Storage, and BigQuery
  • Design cloud automation, CI/CD, privacy, access management, data layers, and orchestration.
  • Develop conceptual, logical, and physical data models, showcasing expertise in domain-driven design patterns
  • Utilize Data Vault 2.0, 3NF, and dimensional modeling methodologies, with proficiency in data modeling tools such as Erwin and Innovator
  • Showcase strong technical skills in big data technologies and languages, including Kafka, Spark, HIVE, Python, etc
  • Leverage hands-on experience with Cloudera/Hortonworks and related ecosystem components in architecture design
  • Conduct data analysis, data profiling, and implement data governance solutions
  • Develop data quality frameworks to ensure the integrity and reliability of the data
  • Independently collaborate with customers to understand, translate, and drive business requirements into technical solutions
  • Work closely with data engineering and data science teams to develop ETL pipelines, build data flows, implement data strategies, and conduct performance tests




  • At least 1 year of experience in data architecture, solution design, and data modeling
  • Practical experience in designing data solutions, ideally on GCP, with familiarity with AWS and Azure
  • Proficient in cloud technologies such as Compute Engine, Kubernetes Engine, Cloud Storage, and BigQuery
  • Strong expertise in big data technologies and programming languages, including Kafka, Spark, HIVE, and Python
  • Experience in designing solutions and frameworks for cloud infrastructure and data pipelines
  • Skilled in data analysis, data profiling, data governance, and creating data quality frameworks
  • Proficient in Data Vault 2.0 modeling, 3NF, and dimensional modeling techniques
  • Capable of independently working with clients to understand and convert business requirements into technical solutions
  • Experienced in collaborating with data engineering and data science teams




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Stavros Tsemekidis

Stavros Tsemekidis

Specialisms: AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering

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