Senior Data Engineer Cloud Platforms Azure GCP

Tkxel; Pakistan; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Tkxel is seeking an experienced Data Engineer – Cloud Platforms (Azure | GCP) with 5+ years of hands-on work across Google Cloud, Azure, and AWS to design scalable data pipelines and analytics-ready data products. The role emphasizes BigQuery, Dataflow, Pub/Sub, and Fabric integrations, along with BI tooling and data modeling.

You will architect end-to-end data solutions, collaborate with cross-functional teams, and enable analytics through Fabric, Looker Studio, and Power BI in a fast-paced,

Qualifications

• 5+ years of experience designing cloud-based data solutions.
• Proficiency with multi-cloud data architectures (GCP, Azure, AWS).
• Strong SQL and Python for data transformation and orchestration.
• Experience with ETL/ELT pipelines and data lakehouse designs.
• Fabric-based workflows experience is a plus.

Responsibilities

• Design and implement end-to-end data ingestion and transformation pipelines.
• Build data models and warehouses across multi-cloud platforms.
• Develop dashboards and semantic layers using Power BI / Looker Studio.
• Collaborate with stakeholders to translate requirements into data solutions.

Skills

ETL/ELT pipelines

Data modeling

Data warehousing

Multi-cloud

Analytical thinking

Stakeholder management

Python

SQL

Communication

Tools

BigQuery

Dataflow

Pub/Sub

Composer

Azure Data Factory

Azure Databricks

Azure Synapse

ADLS

Azure SQL

PostgreSQL

Power BI

Looker Studio

Fabric

Databricks Workflows

Git CI/CD

Airflow

S3

Lambda

Redshift

Job description

Job Description:

Data Engineer – Cloud Platforms (Azure | GCP)

We are seeking an experienced Data Engineer with over 5 years of expertise in designing and implementing modern, cloud-based data solutions, with a primary focus on Google Cloud Platform (GCP) and Microsoft Azure, and additional exposure to AWS. The ideal candidate is skilled in building scalable data platforms, orchestrating efficient data pipelines, and enabling analytics through Microsoft Fabric, BigQuery, and related technologies.

Technical Canvas

Cloud Platform Expertise

• GCP Focus: Hands-on experience with BigQuery, Dataflow, Pub/Sub, Composer (Airflow), Cloud Storage, and Cloud Functions, building end-to-end ingestion, transformation, and analytics solutions.

• Azure Expertise: Proficiency in Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database.

• Fabric Integration: Familiarity with Microsoft Fabric — integrating Data Pipelines, Dataflows Gen2, Lakehouses, and Notebooks to streamline ingestion, transformation, and reporting.

• AWS Exposure: Working knowledge of AWS Glue, S3, Lambda, and Redshift for data processing and analytics.

Data Engineering Excellence

• Proven ability to design, build, and maintain ETL/ELT pipelines, data models, and data warehouses across multi-cloud environments (GCP, Azure, AWS).

• Experience implementing data lakehouse architectures and Fabric-based workflows to enable unified analytics.

Analytics & Visualization

• Strong experience with Power BI and Looker Studio to deliver dynamic data models, semantic layers, and interactive dashboards.

• Ability to integrate reporting across Fabric, BigQuery, and Synapse ecosystems.

Programming & Automation

• Proficient in SQL and Python, developing reusable, scalable scripts for data transformation, validation, and orchestration.

• Experience with Airflow (Composer), ADF, and Databricks Workflows for job orchestration.

Database Systems

• Experienced with Azure SQL, PostgreSQL, BigQuery, MySQL, and SQL Server, ensuring data accuracy, security, and performance optimization.

Version Control & DevOps

• Proficient in Git, with exposure to CI/CD practices for deploying and maintaining data pipelines and Fabric / GCP artifacts in multi-environment setups.

Core Attributes

• Analytical thinker who translates complex business needs into data-driven solutions.

• Excellent communication and stakeholder management skills across business and technical teams.

• Collaborative, proactive, and detail-oriented professional who thrives in fast-paced, multi-cloud environments.