Job Description

We are seeking a skilled Data Engineer to enhance and optimize our data pipeline architecture and flow for cross-functional teams. The ideal candidate will be an experienced data pipeline builder who enjoys developing and optimizing data systems, supporting various teams, and redesigning our data architecture to advance our next-generation products.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
• Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Attractive remuneration package|Be part of a globally recognised organisation

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing \'big data\' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable \'big data\' data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics,Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with Azure cloud services implementation.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Our client is a global insurance leader headquartered in Switzerland, offering a wide range of insurance products and services with a strong financial foundation.

• Attractive remuneration package
• Be part of a globally recognised organisation
• Enhance your analytical skills

Michael Page