Senior Data Engineer - Databricks & BI -20594
Veritaz AB · Stockholm · 6 månader – upp till 12 månader · Deadline 2026-12-03
Veritaz AB is seeking a **Senior Data Engineer** for a consulting assignment within the logistics and transportation sector. Working within a central commercial data and analytics team, the role supports sales, business development, and management by combining data engineering, data analytics, and business intelligence. Core duties include designing and maintaining data architecture, building and optimizing ETL processes and data pipelines, and structuring and validating large datasets from multiple sources. The position also entails developing data models for reporting and visualization, ensuring data quality and governance, and translating business requirements into technical solutions in collaboration with data scientists, business analysts, and commercial stakeholders. Candidates must have strong experience in data analytics, handling large datasets, and practical expertise with **Databricks**. The role requires solid programming skills in data development, experience with data architecture and ETL pipelines, and familiarity with visualization tools such as Power BI, Tableau, or Qlik Sense. **Bilingual fluency in Swedish and English**, both spoken and written, is mandatory alongside the ability to explain complex technical concepts to business stakeholders. Prior experience with AI solutions and AI-related data management is considered an advantage.
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.