🚀 SENIOR DATA ENGINEER
📍 Location: Hybrid
💼 Employment Type: Contract
🕒 Experience: 5+ Years
🔥 THE OPPORTUNITY
Are you a highly skilled Senior Data Engineer passionate about building scalable, modern, enterprise data solutions? 📊☁️
We are looking for an experienced engineer to support an enterprise Data Exchange / Orchestration Layer and build reusable capabilities for moving, integrating, transforming, and managing data across complex enterprise environments.
This role is ideal for someone who brings a strong combination of:
📊 Data Engineering
🔄 Enterprise Integration
☁️ Cloud & Platform Engineering
⚡ Distributed Data Processing
You'll work across batch, APIs, files, and event-driven architectures to build secure, scalable, reusable enterprise data capabilities. 🚀
🎯 WHAT YOU'LL DO
🏗️ Design, develop, deploy, and support scalable data pipelines, integration solutions, and enterprise data products.
☁️ Build cloud-native data processing solutions using AWS, Databricks, and distributed processing frameworks.
🔄 Develop reusable integration patterns across:
📦 Batch Processing
🔌 APIs
📁 File-Based Integration
⚡ Event-Driven Architectures
💻 Develop and optimize complex transformation logic using:
🐍 Python
🗄️ SQL
⚡ Apache Spark
📊 Design data models, transformation frameworks, ingestion patterns, and data consumption layers.
🔍 Build capabilities for:
✅ Data Ingestion
✅ Data Enrichment
✅ Data Quality
✅ Data Lineage
✅ Data Observability
🚀 Implement and improve:
⚙️ CI/CD Pipelines
🏗️ Infrastructure Automation
🧪 Testing Strategies
🔄 DevOps Practices
🤝 Partner with Architects, Application Engineers, Product Owners, Analysts, and Business Stakeholders.
🛡️ Ensure data solutions meet enterprise standards for:
🔐 Security
📋 Governance
⚡ Performance
🛠️ Reliability
📈 Scalability
👨‍🏫 Mentor junior engineers and contribute to reusable patterns, engineering standards, and best practices.
🛠️ CORE TECHNOLOGIES
🔥 Databricks
⚡ Apache Spark / Spark SQL
🏞️ Delta Lake
🐍 Python
🗄️ SQL
☁️ AWS
🔄 ETL / ELT
📐 Data Modeling
⚙️ Distributed Processing
🔍 Data Quality
🧬 Data Lineage
📊 Observability
🚀 CI/CD
🏗️ Terraform
☁️ AWS & CLOUD EXPERIENCE
Experience with AWS services such as:
☁️ AWS Lambda
🔄 AWS Glue
⚡ Amazon EMR
🪣 Amazon S3
🗄️ DynamoDB
📩 SNS / SQS
⚡ EventBridge
🎯 IDEAL CANDIDATE
We're looking for someone who can go beyond building individual analytics pipelines.
The ideal candidate has experience building reusable, enterprise-scale data capabilities and understands how to combine:
📊 Data Engineering
🔄 Enterprise Integration
☁️ Cloud Development
🏗️ Platform Engineering
You should be comfortable leading technical workstreams and collaborating closely with:
🏛️ Architects
💻 Application Engineers
📊 Data Teams
📈 Business Stakeholders
⭐ PREFERRED EXPERIENCE
✨ Strong experience with Databricks and Cloud Data Platforms
⚡ Modern distributed processing using Apache Spark and Delta Lake
🔌 Enterprise integration and interoperability patterns
📊 Operational and analytical data platforms
🏗️ Data modeling and performance optimization
🔄 Event-driven architecture
☁️ Cloud-native development
🚀 Infrastructure as Code using Terraform
⚙️ CI/CD using GitLab, GitHub Actions, Jenkins, or similar tools
🤖 NICE TO HAVE — AI & EMERGING TECHNOLOGIES🤖 AI-Assisted Development Tools
Exposure to AI-assisted development tools such as:
✨ Microsoft Copilot
🐙 GitHub Copilot
🧠 Claude
🚀 Potential AI Applications
Interest in applying AI to:
⚙️ Software Development
🤖 Automation
🧪 Testing
📊 Operational Processes
🌟 WHAT MAKES YOU SUCCESSFUL?
✅ Strong technical and creative problem-solving skills
🗣️ Excellent communication and collaboration abilities
🔎 Curious and self-motivated mindset
⏰ Strong time-management skills
🤝 Comfortable working in Agile and cross-functional environments
👨‍🏫 Ability to mentor engineers and influence technical direction
🚀 Passion for building scalable, reliable, and modern enterprise data solutions
📩 INTERESTED?
If you're a Senior Data Engineer with strong expertise in:
Databricks • Apache Spark • Python • SQL • AWS • ETL/ELT • Data Integration • Cloud Data Platforms
we'd love to hear from you! 🚀