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We are seeking a skilled and passionate Data Modeler / Data Engineer / ETL Developer to join our data engineering team to designs, builds, and maintains data warehouse solutions on the Google Cloud Platform. As a key contributor, you will design and implement scalable data models, develop robust data pipelines, and ensure seamless data integration and data quality across platforms. Your work will directly support business insights, product innovation, and strategic decisions by enabling high-quality, well-structured, and easily accessible data.
Job Responsibility:
Analyze business requirements and translate them into effective data models and technical designs
Design and maintain conceptual, logical, and physical data models DWHs
Build and manage scalable, reliable, and secure data pipelines (ETL/ELT) in hybrid and cloud environments
Ensure data consistency, integrity, and quality across data platforms
Collaborate closely with data architects, analysts, and software developers to deliver end-to-end solutions
Continuously optimize data flows for performance and cost-efficiency
Requirements:
Solid experience in data modeling techniques (3NF, star/snowflake schemas, data vault) and data architecture best practices
Proficiency in SQL
Experience in metadata management, data lineage, and governance practices
Proficient in developing ETL/ELT pipelines using modern frameworks (e.g., SQL Procedures, dbt, Dataflow)
Experience with cloud data platforms, preferably Google Cloud Platform (GCP)
knowledge of BigQuery, Teradata, Oracle
Familiarity with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI
Hands-on with data preparation and profiling tools (e.g., Talend, Trifacta, Collibra)
Experience working in Agile/Scrum
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience in data warehouse implementation or related field
Fluent English speaking and writing
Experience in Agile Scrum Methodology
Nice to have:
Professional certification in cloud platforms (e.g., GCP Data Engineer, AWS Big Data, Azure Data Engineer)
What we offer:
Hybrid work model
Bonus on top of the gross salary
Meal voucher (Ticket Restaurant)
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training