Senior Data Engineer - Stockholm

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.
Assignment Description:
We are looking for a Senior Data Engineer who is experienced in data processing frameworks (Kafka, IBM MQ etc) and different data lakes or warehouses.
Do you value openness, transparency, and empowerment? Our squad is high performing cross-functional team who are set with a mission to provide win-win exchanges for our customers.
What you'll do:
● Develop powerful data pipelines that efficiently process large volumes of product master data, by participating in all the phases of development i.e., implementation architecture, requirement collection, coding & testing etc. (ETL).
● Enable product- and product arrangement workflows that expose performant query interfaces and offer easy-to-use integration hooks.
● Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, and data marts implementation.
● Integrate datasets and dataflows using a variety of best-in-class software as well as profile and analyze large and complex datasets from disparate sources.
● Work in interdisciplinary teams that combine technical, business and data science competencies.
Who you are:
● Have experience in leading, managing, coaching, and mentoring developers & leaders toward delivering timely, high-quality software together with them.
● Strong project management skills and team management experience with managerial abilities to handle a team of data enthusiasts.
● Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data.
● Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches.
● Have Experience building data products incrementally and managing various integrations and resources.