Proxify AB

Senior Data Engineer (Azure)

Azure full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

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

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis Human Resources MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer (Azure) role.
  2. How would you approach your first 30 days at Proxify AB?
  3. Which of API integration, Data Analysis and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer (Azure) role because I can bring practical experience in API integration, Data Analysis and Human Resources, learn the team quickly, and contribute to the outcomes Proxify AB needs from this hire.

Related jobs.

More roles from this company or category.