Job Description
Randstad Digital are now looking for a senior data engineer with experience in Python, Azure Databricks as well as PowerBI. At this assignment you will work with the the biggest, data driven transformation of transport solutions in history. Our client is in the middle of their digitalization journey, and here you will drive analytics and artificial intelligence initiatives. We are looking for a Data Engineer who is self-sufficient and proficient in talking to various stakeholders to understand business requirements. You are confident in creating robust data pipelines and to convert POC's and concepts into production environments. You are keen to learn new things and understanding the existing organization and IT landscape to make sure that what you build attracts user adoption. For this assignment you need to be able to work on-site 1-2 days a week in Lundby, Gothenburg.
Responsibilities
- Build complex data pipelines in Azure Databricks
- Optimize existing data pipelines
- Work closely IT and business stakeholders to enable new insights to drive business value
- Design proof-of-concepts & industrialize solutions in Power BI
- Keep the data secure across the end-to-end solutions
- Evaluate and improve existing data analytics solutions
- Develop your competences, learn new tools and ways of working
Qualifications
We are looking for candidates with at least 5+ years of experience and a relevant education background. To be a match for this position you need to:
- be comfortable in building data pipelines using Azure services and related technologies such as Data Factory, Databricks, Python & PySpark
- have strong skills in writing SQL queries and navigate relational databases
- have strong skills in Power BI
- be comfortable in maintaining and enhance kimball data models
- have previous experience in Azure functions, building and working with REST API's
- have previous experience in building ETL/ELT processes using Informatica PC/IICS, Microsoft Integration Services or similar tool(s)
- be able to comfortable working in a diverse, complex, and fast-changing landscape of data sources
- communicate fluently in English
- be a proactive problem solver with innovative thinking and a strong team player