Data Engineer job in Amstelveen

Amstelveen MS Amlin Ltd

Job Ref:	RQ9599
Employer:	MS Amlin Ltd
Sector:	P&C/General Insurance/Non-Life Reinsurance
Qualifications:	Unclassified
Software:	Python SQL
Job Type:	Full Time
Salary and Benefits:	Competitive
Remote:	No
Location
Country:	Netherlands
City:	Amstelveen
Post Code:	Not specified
Map:	(Show on map)
Description
We are looking for a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer you will play an important role in designing, building and maintaining the systems and architecture that enable MS AISE to collect, store and analyze large volumes of data. The ideal candidate is passionate about data, possesses strong analytical skills and has a proven track record of implementing robust and scalable data solutions in the cloud. As an MS AISE Data Engineer you will reportin into MS AISE's Data Engineering Team Manager and will work closely with the MS AISE's Reporting & Analytics team as well as other key stakeholders with a strong interest in data, such as technical pricing, actuarial and finance. Key Responsibilities Data architecture design: design and implement scalable and robust data architectures to support MS AISE's data needs. Collaborate with stakeholders to understand data requirements and translate them into technical specifications. Data Integration: Develop and implement ETL (Extract, Transform, Load) processes to integrate data from various sources into a unified data lake. Ensure data integrity, accuracy and reconciliation throughout the integration process Data Management: Manage and optimize database / datamart design including schema design, indexing and performance tuning as well as data security and access controls to ensure protection of sensitive data. Data Modeling: Create and maintain data models to represent the structure and relationships within the data of MS AISE. Data Pipeline Development: Build and maintain data pipelines to ensure automated collection, processing and storage of data. Monitor and troubleshoot data pipeline issues to ensure smooth and reliable data flow and availability. Collaboration with cross-functional teams: Collaborate with the MS AISE Reporting & Analytics team and other key stakeholders to understand data requirements and contribute to the delivery of solutions that meet business objectives. Documentation: contribute to creating and maintaining comprehensive documenatation for data engineering processes, workflows and data dictionaries. Technological Evaluation: Ensure you stay informed about emerging technologies and evaluate their applicability to the organization's data architecture and processes. Key skills / experience Minimum 3+ years of Experience as a Data Engineer Strong Experience with relational data structures, theories, principles and practices Strong hands-on experience with SQL Language, data transformation and modelling tools. Proven experience with building Data Lake, Delta lake and large scale Data Warehouses Strong experience in implementing large scale cloud data architecture using Azure, Synapse, Azure Databricks, Data Fabric etc Proficient in Azure Data Factory, Azure Data Lake, Azure DevOps, Azure Databricks, Azure SQL Database, Stream Analytics. Knowledge of Microsoft Fabric is a strong plus Good knowledge of tools associated with data ingestions & data transformations (e.g. SQL, Spark, Python) Good knowledge or experience with Python Programming Language Good knowledge or experience with other Cloud platforms is a strong plus (Google Cloud, Databricks, AWS, Snowflake, etc) Knowledge of insurance market business applications & procedures and/or from an equivalent industry Competencies Strong analytical & conceptual mindset Strong teamplayer Ability to deliver from start to finish with minimal oversight Ability to work in a structured and efficient manner Ability to work in line with standard development framework & practices Pragmatic, self-starter and solution oriented Ability to identify and anticipate on problems early and communicate timely Good communication skills

ref: (RQ9599) 14 days ago

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