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Senior Data Engineer
Pixonal
Dubai, UAE
Full Time
Senior
1 months ago
PythonSQLPostgreSQLETLData WarehousingData Modeling
Free
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About the Role
Pixonal is looking for a Senior Data Engineer to design, develop, and optimize data solutions for decision intelligence systems. The role involves building ETL pipelines, data warehouses, and data models, as well as working with customers on data integration.
Key Skills for This Role
PythonSQLPostgreSQLETLData WarehousingData Modeling
Responsibilities
- Design and implement data pipelines — ETL workflows, ingestion from diverse sources, and transformation for Llumen consumption
- Develop and maintain data warehouses; create efficient, scalable data models and architectures
- Extend and mature Llumen DataFlows — our in house workflow orchestration and ETL engine
- Support customer integrations — work with customer data teams on connectivity, schemas, and interfaces
- Ensure governance and compliance — align with data classification, residency, governance, and security requirements
- Contribute to architecture — schema design, performance tuning, observability, and scalable patterns for pipeline orchestration
Requirements
- 5+ years of data engineering experience (ETL, pipelines, data integration)
- Proficiency in data modeling and data warehousing
- Strong Python and SQL
- Experience with workflow orchestration (Airflow, Prefect, or similar)
- Hands on experience with PostgreSQL, REST APIs, and file based ingestion
- Data analytics skills
- Familiarity with Kubernetes and cloud based data platforms (Azure preferred)
- Understanding of data governance
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related discipline
Full Job Posting
About Pixonal
- Pixonal develops secure decision intelligence systems for governments and large enterprises in high stakes environments.
- Our platform, Llumen, integrates data from multiple sources into a unified intelligence foundation, enabling leaders to make informed decisions in complex operational contexts.
Role Description
- As a Senior Data Engineer, you will design, develop, and optimize robust data solutions to support the delivery of decision intelligence systems.
- You will manage ETL pipelines, develop and maintain data warehouses, create efficient data models, and ensure seamless integration with APIs and other data sources.
- You will work across customer engagements and contribute to our in house Llumen DataFlows engine — and will be forward deployed with key customers to ensure smooth data integration and ongoing reliability.
Responsibilities
- Design and implement data pipelines — ETL workflows, ingestion from diverse sources (PostgreSQL, MySQL, MSSQL, MongoDB, REST APIs, file systems, IoT, GIS, or other technology stacks), and transformation for Llumen consumption
- Data warehousing and modeling — Develop and maintain data warehouses; create efficient, scalable data models and architectures
- Extend and mature Llumen DataFlows — Our in house workflow orchestration and ETL engine; visual workflow design, scheduling, monitoring, and Dev/UAT/Prod promotion
- Support customer integrations — Work with customer data teams on connectivity, schemas, and interfaces; advise on staging, ETL, and data landing zones
- Ensure governance and compliance — Align with data classification, residency, governance, and security requirements (SOC2, ISO 27001)
- Contribute to architecture — Schema design, performance tuning, observability (Prometheus, Grafana), and scalable patterns for pipeline orchestration
Qualifications
- 5+ years of data engineering experience (ETL, pipelines, data integration)
- Proficiency in data modeling and data warehousing; ability to create efficient, scalable data architectures
- Strong Python and SQL; experience with workflow orchestration (Airflow, Prefect, or similar)
- Hands on experience with PostgreSQL, REST APIs, and file based ingestion (CSV, Excel, JSON)
- Data analytics skills — deriving meaningful insights from structured and unstructured data
- Familiarity with Kubernetes and cloud based data platforms (Azure preferred)
- Understanding of data governance — classification, residency, security controls
- Proven track record working on decision critical or large scale data systems
- Problem solving mindset with strong communication and teamwork skills
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline
- Experience with PostGIS is a plus
- Exposure to AI/ML pipelines or RAG style data flows is a plus
Relevant Technologies
- Data — PostgreSQL (PostGIS), as well as any other technology stack our customers may be using
- ETL & Workflow — Llumen DataFlows (in house), or any other ETL platform our customers may be using
- Languages & Frameworks — SQL, Python, REST APIs
- Infrastructure — Azure (PostgreSQL, Redis, Key Vault, Blob Storage)
- Monitoring — Prometheus, Grafana, ELK/Loki, Azure Log Analytics
Benefits
- Competitive salary and benefits
- Work on a product at the intersection of AI, analytics, and enterprise data
- Strong engineering culture: PR based workflow, code review, security first mindset
- Exposure to enterprise and government customers with complex data landscapes
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