ph3Role Purpose /h3pAs 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.
/ph3Role Responsibilities /h3h3Data Pipeline ETL Development /h3ulliConstruct, test, and maintain scalable data pipelines.
/liliBuilding ETL/ELT processes for ingesting and transforming large datasets.
/liliAutomate data ingestion using tools such as Python, SQL, cloud ETL platforms /li /ulh3Data Architecture Storage /h3ulliDevelop and maintain database schemas, views, mapping tables, data models, and data warehouses.
/liliOptimise data storage solutions (SQL, NoSQL, cloud storage, data lakes).
/li /ulh3Data Integration APIs /h3ulliIntegrate internal and external data sources.
/liliBuild APIs and services for data access and consumption.
/liliMonitor system interoperability and consistent data flow across platforms.
/li /ulh3Data Quality, Validation Governance /h3ulliAutomate validation rules, quality checks, and data cleaning procedures.
/liliMonitor data accuracy, data consistency, data security,



and data regulatory compliance.
/li /ulh3Infrastructure Management /h3ulliAssist the configuration and management of databases, warehouses, cloud computing frameworks.
/li /ulh3Collaboration Support /h3ulliWork closely with data scientists, analysts, product teams, and executives.
/liliAssist Pricing Exposure management with their respective databases /liliTranslate complex technical concepts into actionable insights for non-technical stakeholders.
/liliSupport organizational decision-making by ensuring data is accurate, accessible, and relevant.
/li /ulh3Skills Experience /h3h3Essential /h3ulliHands on experience with Python and SQL.
/liliExposure with cloud platforms (AWS, Azure, GCP).
/liliExperience with ETL tools: Databricks, Azure Data Factory, SSIS.
/liliStrong understanding of data modelling, metadata, and data architecture.
/liliAbility to build high-performance algorithms and prototypes.
/liliKnowledge of data governance, data security, and privacy standards.
/liliExcellent problem-solving and analytical thinking.
/liliAbility to collaborate cross? /liliClear communication and documentation abilities.
/li /ulh3Desirable /h3ulliUnderstanding of machine-learning data requirements.
/liliExperience working within cross functional analytical squads.
/li /ul /p #J-*****-Ljbffr

📌 Data Engineering Specialist (Campo di Ne)
🏢 Africa Specialty Risks
📍 Campo di Ne