Senior Data Engineer - 19959

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. We are looking for a Senior Data Engineer to ensure that accurate, structured and high-quality source data is available for the platform and downstream analytics. The role focuses on data modelling, master data validation and data quality, with hands-on experience in SQL, DDL, BigQuery, PostgreSQL and Google Cloud Platform. You will work closely with source-system owners, master data stakeholders, business teams and IT. What You Will Work On Ensure source data is correctly structured, modelled and validated Validate master data and reference data Ensure data quality for items, hierarchies, market data, prices and related datasets Develop and maintain data models and information models Work with SQL and DDL Work with BigQuery, PostgreSQL and Google Cloud Platform Coordinate with source-system owners and master data owners Investigate and resolve data-quality issues Collaborate with project managers, testers, product owners, developers, solution architects and integration teams Identify unclear requirements and proactively raise data-related issues What You Bring Senior-level experience in Data Engineering / Data Quality Strong experience with information modelling and data modelling Strong SQL and DDL skills Experience with BigQuery Experience with PostgreSQL Experience with Google Cloud Platform Good understanding of master data, reference data and data quality Strong analytical and problem-solving skills Ability to work independently and take ownership Strong communication and stakeholder-management skills Fluent Swedish, both spoken and written Meritorious Experience with Master Data Management (MDM) Experience with data governance and data-quality processes Experience working with product/item data and complex hierarchies Experience from large enterprise data environments Experience coordinating with multiple source systems and data owners