Logo for Xideral

Sr Azure Data Engineer 2708

Roles & Responsibilities

  • Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage
  • SQL and Power BI with DAX
  • Advanced English (C1–C2) and excellent communication
  • Bachelor’s degree or higher; proactive attitude and teamwork

Requirements:

  • Design, implement, and maintain scalable data pipelines on Azure using Azure Data Factory, Synapse Analytics, and PySpark
  • Develop, optimize, and manage Power BI dashboards for enterprise reporting and data visualization
  • Enhance Cosmos processing performance by writing and optimizing Scope Scripts for large-scale data jobs
  • Collaborate with cross-functional teams to integrate data pipelines and ensure seamless delivery of analytics and reporting solutions

Job description

Senior Data Engineer | Azure Data Platform, Power BI & PySpark | Remote in Mexico

 We are seeking a highly skilled Senior Data Engineer to join our team on a remote, long-term engagement. This role is ideal for a results-driven professional who thrives in a fast-paced, data-driven environment and can translate business requirements into robust analytics solutions.

Key Responsibilities:

  • Design, implement, and maintain scalable data pipelines on the Azure platform using Azure Data Factory, Synapse Analytics, and PySpark.
  • Develop, optimize, and manage Power BI dashboards to support enterprise reporting and data visualization needs.
  • Enhance Cosmos processing performance by writing and optimizing Scope Scripts for large-scale data jobs.
  • Collaborate with cross-functional teams to integrate data pipelines and ensure seamless delivery of analytics and reporting solutions.
  • Maintain strong data governance, ensuring data quality, security, and compliance across all systems and processes.
  • Translate business requirements into efficient data models, leveraging DAX, dimensional modeling, and Power BI to communicate insights effectively.

Technical Skills Required:

With over 5 years of experience as a Subject Matter Expert Application Developer, you must be proficient in the following technical skills:

  • Must have: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Power BI, Advanced English, DAX
  • Nice to have: Cosmos Scope Scripting, PySpark, 
  • Optional: Kusto Query Language (KQL)
  • Core domains: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Cosmos Scope Scripting, Power BI, DAX, KQL, SQL, PySpark

What we value

  • Strong communication, empathy, commitment, and leadership
  • Ability to work effectively with cross-functional teams
  • Proactive problem solving and data-driven decision making

Qualifications:

  • Bachelor’s degree or higher
  • Fluent in English (Advanced) C1  - C2
  • Excellent communication, teamwork, commitment, and a proactive attitude

Location & Schedule:

  • Remote work from Mexico City
  • Work hours Monday to Friday, 09:00 – 18:00
  • Advanced English skills are mandatory, and only residents of  Mexico

Benefits:

  • Attractive Salary + Premium Benefits
  • Performance bonuses,  grocery coupons, and savings are found.
  • Aguinaldo,  premium vacations,  and vacations paid
  • SGMM Medical insurance, family, and  Life insurance.

If you’re passionate about building scalable data architectures and turning complex data into actionable insights, this could be a great fit. Please note: CVs should be submitted without letterhead.

Data Engineer Related jobs

Other jobs at Xideral

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.