Senior Data Engineer

Overview We are looking for a

Senior Data Engineer to design and deliver scalable data platforms, analytics solutions, and AI-ready data products using modern cloud technologies. The role combines

data engineering, analytics, business intelligence, and technical leadership , with a strong focus on

Microsoft Azure and Microsoft Fabric . You will work closely with business stakeholders, architects, data scientists, and engineering teams to turn complex data into trusted insights and scalable data solutions.

Responsibilities

• Design and develop

enterprise-scale data pipelines and ETL/ELT solutions using

Azure Data Factory, Azure Databricks, and Microsoft Fabric .

• Build scalable

lakehouse and data warehouse solutions using

ADLS, OneLake, Delta Lake, Synapse , and related technologies.

• Develop high-performance data processing solutions using

SQL, Python, and PySpark .

• Design data models, dimensional schemas, analytical datasets, and semantic models for enterprise reporting and analytics.
• Build and optimize

batch and near-real-time data pipelines , including API, event-driven, and streaming integrations where required.

• Establish robust practices for

data quality, validation, reconciliation, governance, metadata, lineage, security, and compliance .

• Implement

Git-based development, CI/CD, automated deployments, monitoring, and operational support for data solutions.

• Analyze complex datasets, define KPIs, and deliver actionable insights through

Power BI and other BI platforms .

• Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
• Support

AI/ML and Generative AI initiatives by developing trusted, governed, and AI-ready data foundations.

• Lead data modernization and cloud transformation initiatives, including migration from legacy platforms to

Azure/Fabric .

• Troubleshoot and optimize data pipelines, queries, Spark workloads, storage, and cloud costs.
• Provide technical guidance and mentorship to data engineers and analysts while driving engineering best practices.

Required Qualifications

• 8–10 years of experience in data engineering, analytics, BI, or related data disciplines.
• Strong hands-on experience with

Azure Data Factory, Azure Databricks, and/or Microsoft Fabric .

• Strong knowledge of

Azure Data Lake, OneLake, Delta Lake, lakehouse, and data warehouse architectures .

• Advanced

SQL skills, including query optimization, partitioning, indexing, and performance tuning.

• Strong programming experience with

Python and PySpark ; Scala is a plus.

• Strong understanding of

data modeling, dimensional modeling, ETL/ELT, orchestration, and data architecture .

• Experience with

Power BI or equivalent BI platforms and the ability to translate business requirements into analytical solutions.

• Experience with

Git, Azure DevOps, CI/CD , and production data pipeline practices.

• Understanding of

data governance, quality, security, metadata, lineage, and compliance .

• Experience with

cloud data platforms and distributed processing technologies such as Databricks, Spark, Snowflake, Synapse, Kafka, or equivalent.

• Strong communication, stakeholder management, problem-solving, and technical leadership skills.

Preferred Qualifications

• Experience with

Microsoft Fabric, OneLake, Fabric Data Factory, and Power BI .

• Exposure to

real-time data processing, Event Hubs, Service Bus, APIs, or event-driven architectures .

• Experience with

Terraform, Bicep, or other Infrastructure-as-Code technologies .

• Experience supporting

AI/ML, Generative AI, or advanced analytics initiatives.

• Experience with enterprise data governance, cataloging, lineage, and master data management.
• Relevant Azure, Fabric, Databricks, Snowflake, or other cloud data certifications.
• Experience working in

Agile/Scrum and global delivery environments .

What You'll Bring

• A strong engineering mindset focused on

scalability, reliability, performance, and quality .

• Ability to move between

technical implementation, data analysis, and business problem-solving .

• Strong ownership of data solutions from

requirements and architecture through development, deployment, and production support .

• Curiosity to adopt modern

cloud, data, analytics, and AI technologies .

• Ability to mentor others and influence technical decisions across teams.

Why Join Us?

• Lead modern

Azure and Microsoft Fabric data transformation initiatives.

• Work across

Data Engineering, Analytics, BI, and AI .

• Solve complex enterprise data challenges at scale.
• Collaborate with architects, engineers, analysts, data scientists, and business leaders.
• Build solutions that directly influence

business decisions and outcomes .

• Grow your expertise through continuous learning, certifications, and exposure to modern data technologies.

Ready to build the future of data? Join our Data & Analytics team and help organizations turn data into trusted insights and intelligent business outcomes. 📩 Apply now.