Senior Data Engineer - Databricks & BI -20594

Om jobbet

Arbetsgivarens annonstext via Arbetsförmedlingen.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Job Overview Assignment Description We are looking for an experienced Senior Data Engineer / Data Analytics Specialist for a consulting assignment within the logistics and transportation industry.

You will join a central team responsible for commercial data and analytics, supporting sales, business development and management. The role combines Data Engineering, Data Analytics and Business Intelligence, ensuring data from multiple sources is reliable, accessible and ready for analysis and reporting.

What You Will Work On Design, develop and maintain data architecture and infrastructure. Build, integrate and optimise data pipelines and ETL processes. Collect, structure and validate large datasets from multiple sources.

Develop data models and solutions for reporting and visualisation. Ensure data quality, availability and efficient data management. Collaborate with Data Scientists, Business Analysts and business stakeholders.

Translate business requirements into technical data solutions. Contribute to improvements in Data Governance and analytics processes.

What You Bring Strong experience in Data Analytics and handling large datasets. Practical experience with Databricks. Strong programming skills and experience in data development. Experience with Power BI, Tableau and/or Qlik Sense.

Experience with data architecture, ETL processes and data pipelines. Excellent communication skills in both Swedish and English, spoken and written. Ability to communicate complex technical and analytical insights clearly to business stakeholders.

Meritorious Experience with AI solutions and AI-related data management.