Data Engineering Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fn0b2

Role Purpose

As a Data Engineer Specialist, you will play a pivotal role in supporting the development, maintenance, and optimisation of the organisation’s data infrastructure. The role would focus on managing data pipelines, transforming raw data into usable structures, automating ingestion processes, and enabling high-quality reporting and analytics across the business. This role plays a key part in supporting cloud-based reporting, enterprise data warehouse initiatives, and cross-departmental analytics.

Role Responsibilities

Data Pipeline & ETL Development
- Construct, test, and maintain scalable data pipelines.
- Building ETL/ELT processes for ingesting and transforming large datasets.
- Automate data ingestion using tools such as Python, SQL, cloud ETL platforms

Data Architecture & Storage
- Develop and maintain database schemas, views, mapping tables, data models, and data warehouses.
- Optimise data storage solutions (SQL, NoSQL, cloud storage, data lakes).

Data Integration & APIs
- Integrate internal and external data sources.




- Build APIs and services for data access and consumption.
- Monitor system interoperability and consistent data flow across platforms.

Data Quality, Validation & Governance
- Automate validation rules, quality checks, and data cleaning procedures.
- Monitor data accuracy, data consistency, data security, and data regulatory compliance.

Infrastructure Management
- Assist the configuration and management of databases, warehouses, cloud computing frameworks.

Collaboration & Support
- Work closely with data scientists, analysts, product teams, and executives.
- Assist Pricing & Exposure management with their respective databases
- Translate complex technical concepts into actionable insights for non-technical stakeholders.
- Support organizational decision-making by ensuring data is accurate, accessible, and relevant.

Skills & Experience

Essential
- Hands on experience with Python and SQL.
- Exposure with cloud platforms (AWS, A

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7fn0b2