Senior Data Engineer (Azure)
Role Overview
As a Senior Data Engineer at Proxify AB, you will design and develop end-to-end data pipelines using Azure services, ensuring data quality and performance in a collaborative team environment. You will leverage your advanced SQL skills and knowledge of Azure technologies to implement complex data models and integrate data from various sources, impacting the organization's data-driven decision-making processes.
Perks & Benefits
Enjoy a fully remote role with predictable project hours and a harmonious work-life balance, working consistent 8-hour days. Proxify offers up to 24 flex days off per year, on-time monthly payments, and hand-picked opportunities for career growth at cutting-edge companies, fostering a culture of support and flexibility.
Full Job Description
Headquarters: Sweden URL: http://career.proxify.io
The Role:
We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure to join our fast-growing Network. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we re looking for:
5+ years in Data Engineering roles. Advanced SQL knowledge: complex queries, performance tuning, stored procedures. Strong understanding of Azure technologies: Azure SQL Database, Data Factory, etc. Proven experience in ETL development, data integration, and pipeline orchestration. Deep understanding of data modeling principles and data warehouse architectures. Knowledge of data governance principles, data quality management, and data security best practices. Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.
Nice-to-have:
Familiarity with Azure Synapse Analytics, Data Lake, and Azure DevOps. Expert in Power BI development, including Power Query, DAX, and Power BI Service. Experience with Python or other scripting languages for data processing. Git or other version control systems for collaboration and CI/CD practices. Microsoft certifications (Power BI, Azure Data Engineer, or SQL Server).
Responsibilities:
Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting. Manage and optimize ETL workflows, ensuring data quality, consistency, and high performance. Design and maintain data warehouses and dimensional models (e.g., star/snowflake schema). Collaborate with analysts, developers, and stakeholders to translate business requirements into technical solutions. Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files. Ensure data governance, accuracy, and integrity across the BI ecosystem.
What we offer: Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies. Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify.
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-azure-2
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