Beschreibung
Senior Data Engineer (m/f/d)
Reference: -en
Start: asap
Duration: 12 MM
Main tasks:
- Build and Maintain the project´s Platform
- Build and maintain robust scalable data processing pipelines in Microsoft Azure
- Optimize data ingestion process for better reliability and throughput
- Design and develop data models for analytics
- Work with various complex data sources at various levels of granularity and deliver high-quality data
- Drive data architecture design decisions considering future growth
- Work closely with actuaries and data scientists to understand their objectives and translate to ensure architectural fit
- Own features from design through delivery with ongoing support
- Communicating effectively across diverse disciplines (with Product Management, Data Science, Actuarial, etc) to collect requirements
- Implement processes and technology to monitor and improve data quality
Main qualifications
- Bachelor's degree (MS preferred) in Computer Science, Statistics, Math or equivalent combination of education and experience
- Profound experience with data modeling, data processing, and data analytics as data engineer
- Profound hands-on Python and SQL experience required
- Expert Data Model skills on designing and building models for semi-structured, relational, graph data
- Expert SQL skills including T-SQL, Hive, Spark SQL, etc
- Expert knowledge of database technologies such as Postgres, SQL Server, MySQL, MongoDB, Azure CosmosDB
- Experience in data pipeline development using Azure Data Factory, T-SQL, PySpark, Airflow, etc.
- Experience in P&C insurance industry (preferred experience working with insurance homeowner data)
- Experience in data visualization tools such as Power BI
- Solid hands-on Microsoft Azure experience highly preferred
- Experience in Cloud Analytics stack (e.g. Azure: Data Factory, Databricks, Azure ML, Azure SQL, ADLS etc.), (t-)SQL und Tools + Ecosystem (SSMS, Azure Data Studio, Azure SQL), Scripting knowledge (bash, Powershell or Python), Git, Data Modelling Tools (e.g. Erwin, ER/Studio; or Visio, Data Studio, Draw.io etc.)
- Knowledge of Azure DevOps esp. repositories, pipelines, Container systems/ecosystem, PowerBI
- Experience in providing clear data engineering technical leadership, mentoring, and best practices for data management and quality within and across teams
Main advantages:
- Exciting innovation project with start-up flair within a worldwide known insurance company
About us:
IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.
My contact at Hays:
My contact person:
Julia Kasper
Referencenumber:
Make contact:
Email: