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Why this grade This listing scored 65/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Azure Data Engineering and Data Warehousing
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-3
Apply for this role Opens weworkremotely.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 15 Sep 2026 We Work Remotely first sighting
Seen on 1 board over 1 day.