Data Modeller/Cloud Data Engineer (Azure Databricks/ETL/Spark)

GIOS Technology Limited; City of Westminster; Presencial; GBP 55.000 - 90.000; Jornada completa

Descripción de la vacante

GIOS Technology Limited is seeking a data modelling specialist to design and manage enterprise data models and data pipelines. You will work with relational and dimensional schemas, implement warehousing solutions, and collaborate with cloud-based data platforms.

The role requires strong SQL skills, experience with Azure Databricks and Spark, and proficiency in Python for pipeline development. Experience with ERwin/ER/Studio and multiple RDBMS is desirable.

Formación

• Experience in data modelling concepts across conceptual, logical, and physical levels.
• Expertise in 3NF, Star and Snowflake schemas.
• Hands-on with Azure Databricks and Apache Spark.
• Strong SQL proficiency with SQL Server, Oracle, or PostgreSQL.
• Python programming for data engineering and pipelines.
• Familiarity with ERwin or ER/Studio data modelling tools.
• Knowledge of data warehousing, ETL/ELT, and data integration.
• Understanding cloud platforms, preferably Microsoft Azure.
• Understanding of data quality, metadata management, and data governance.

Conocimientos

Data modelling

Relational modelling

Dimensional modelling

SQL proficiency

Python programming

Data warehousing

ETL/ELT processes

Data governance

Metadata management

Data quality

Herramientas

Azure Databricks

Apache Spark

ERwin

ER/Studio

SQL Server

Oracle

PostgreSQL

Descripción del empleo

• Experience in data modelling techniques, including conceptual, logical, and physical modelling.
• Expertise in relational and dimensional modelling, including 3NF, Star and Snowflake schemas.
• Hands‑on experience with Azure Databricks, Apache Spark, and big data technologies.
• Strong proficiency in SQL and experience working with RDBMS platforms such as SQL Server, Oracle, or PostgreSQL.
• Programming experience in Python for data engineering and pipeline development.
• Experience with data modelling tools such as ERwin, ER/Studio, or equivalent.
• Strong understanding of data warehousing, ETL/ELT processes, and data integration.
• Knowledge of cloud technologies and platforms, preferably Microsoft Azure.
• Understanding of data quality, metadata management, and data governance principles.