Talantix.io
Telefonica Tech•04.03.26
AI SCORE 8.5

Data Platform Engineer - Remote

$90K–$130K/year
RemoteCloud & Data Services
Azure•Microsoft SQL Server•Databricks•Python•SQL•DevOps•Data Architecture•ETL•Data Warehousing

About the Role

We are seeking a talented Data Platform Engineer - Remote to join our dynamic team. In this role, you will be responsible for designing and implementing robust data platforms that support our business objectives. You will work closely with cross-functional teams to ensure data integrity and availability, enabling data-driven decision-making across the organization.

What You'll Do

  • Design and develop scalable data platforms using technologies such as Azure, Microsoft SQL Server, and Databricks.
  • Implement ETL processes for data ingestion and transformation, ensuring high data quality and performance.
  • Collaborate with data scientists and analysts to understand data requirements and provide necessary data solutions.
  • Utilize DevOps practices to automate deployment and monitoring of data pipelines.
  • Support data architecture initiatives, focusing on cloud-native solutions and distributed systems.

Requirements

  • 3+ years of experience as a Data Platform Engineer or similar role.
  • Proficient in SQL, Python, and data modeling techniques.
  • Experience with cloud platforms, particularly Azure and its data services.
  • Strong understanding of data warehousing concepts and data governance.
  • Familiarity with tools such as DataIku, Collibra, or QuickSight is a plus.

Nice to Have

  • Experience with NoSQL databases and data analytics frameworks.
  • Knowledge of Docker and container orchestration.
  • Familiarity with DataOps methodologies.

What We Offer

  • Opportunity to work in a diverse and inclusive environment.
  • Access to ongoing training and professional development.
  • Flexible working arrangements, including remote work options.
  • Engagement in innovative projects within a leading tech company.
  • Supportive team culture with a focus on continuous improvement.
Why This Job8.5 of 10

This Data Platform Engineer role offers a chance to work remotely with a leading tech company, focusing on innovative data solutions and flexible work arrangements.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Azure services such as Azure Data Lake and Azure Synapse Analytics, with hands-on experience in building and managing data pipelines using Databricks and Azure Data Factory.

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Self-motivated and disciplined, thriving in a remote work environment, with a strong ability to manage time effectively and deliver results independently while collaborating with cross-functional teams.

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Strong analytical mindset with at least 3 years of experience in Data Architecture and ETL processes, showcasing the ability to design data models and implement data warehousing solutions that ensure data integrity and availability.

Learning Resources

→Azure Data Engineering on Microsoft Azurecourse
→Microsoft SQL Server Documentationguide
→Data Warehousing with Databrickscourse

Career Path

Data Platform Engineer - Remote(Now)→Senior Data Platform Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
22.3%
AI Adoption
67%
Investment
+45%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
AzureMicrosoft SQL ServerDatabricks
Growing in Demand
Azure Data FactoryMachine Learning on AzureKubernetes
Declining
SSIS (SQL Server Integration Services)Traditional Data Warehousing

Domain Trends

Rise of Serverless Architectures
Adoption of serverless technologies in data platforms is increasing, with 50% of organizations planning to migrate to serverless environments by 2025.
Integration of AI and ML in Data Engineering
Over 60% of data platform engineers are now incorporating AI/ML capabilities into their workflows, enhancing data processing and analytics.
Shift Towards Real-Time Data Processing
Real-time data processing is expected to grow by 35% annually, with organizations focusing on immediate insights for decision-making.

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