Senior Data Platform Engineer
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Before you apply
LocationDubai, Dubai, United Arab Emirates
Work modeon-site
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentOutsource
Company size201–500 people
PostedApr 10, 2026 · 7mo ago
Verified live5h ago
May no longer be actively hiring
Posted by the company on Apr 10, 202650% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Information Technology, or related field
8+ years of experience in data engineering, with a focus on data platform architecture and development
Strong proficiency in SQL and experience with relational and NoSQL databases
Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
Experience with big data technologies like Hadoop, Spark, and data warehousing solutions
Knowledge of data governance, security, and compliance standards
Excellent problem-solving and communication skills
Proven ability to lead technical projects and mentor team members
SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views — hands-on experience pulling data from SAP FI/CO modules
Python — async data pipelines, background jobs, scheduled tasks
PostgreSQL — schema design, migrations (Alembic), query optimization, partitioning
Azure Data Lake Storage + Synapse Analytics
Microsoft Graph API — SharePoint, M365, organizational data
Apache Airflow or Azure Data Factory
dbt or equivalent for transformation and quality testing
Redis — queue management, TTL, cache invalidation
Observability — structured logging, Azure Monitor or Prometheus/Grafana
Docker — containerized pipeline jobs
Infrastructure-as-code (Terraform or equivalent)
Master's degree in Computer Science, Information Technology, or related field
Skills
SQL
NoSQL
AWS
Azure
Google Cloud
Hadoop
Spark
SAP FI/CO
OData
RFC/BAPI
SAP Data Services
CDS views
Python
PostgreSQL
Alembic
Azure Data Lake Storage
Synapse Analytics
Microsoft Graph API
SharePoint
M365
Apache Airflow
Azure Data Factory
dbt
Redis
Docker
Terraform
Benefits
Paid time off
Performance bonus
Training and development
About the role
BlackStone eIT is seeking an experienced Senior Data Platform Engineer to lead the design, development, and maintenance of our enterprise data platforms. In this role, you will ensure that our data infrastructure is scalable, reliable, and optimized to support advanced analytics and business intelligence efforts.
You will work closely with data engineers, data scientists, and IT teams to develop robust data platforms that facilitate seamless data ingestion, processing, storage, and accessibility. This is an opportunity to make significant contributions to BlackStone eIT’s data strategy and technological advancement.
Key Responsibilities
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Design, build, and maintain scalable data platforms to support diverse data workloads.
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Develop and optimize ETL/ELT pipelines to ensure efficient data movement and transformation.
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Collaborate with cross-functional teams to translate business requirements into technical solutions.
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Ensure data platform security, governance, and compliance with relevant regulations.
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Monitor platform performance, troubleshoot issues, and implement improvements.
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Provide technical leadership and mentorship to junior data engineers.
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Stay updated with the latest trends and technologies in data platform engineering.
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Platform architecture: pipeline design patterns, orchestration strategy, infrastructure-as-code, monitoring stack
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Enterprise data extraction: SAP FI/CO (budget, actuals, commitments via OData/RFC), Microsoft Graph API (SharePoint, M365), SuccessFactors OData API — you own the extraction approach and build the first pipelines yourself
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Staging layer design: PostgreSQL staging schema, raw-to-clean transformation patterns, refresh strategies
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Ingestion observability: logging standards, alerting on failures, monitoring dashboards for pipeline health
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Data quality framework: defining quality checks, deciding what pauses a pipeline vs. what triggers a warning
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Classification enforcement: working with the Governance Lead to embed automated classification tagging into every pipeline
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Technical mentorship: setting standards and reviewing work for the Senior Data Platform Engineer
Requirements
•
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
•
8+ years of experience in data engineering, with a focus on data platform architecture and development.
•
Strong proficiency in SQL and experience with relational and NoSQL databases.
•
Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud.
•
Experience with big data technologies like Hadoop, Spark, and data warehousing solutions.
•
Knowledge of data governance, security, and compliance standards.
•
Excellent problem-solving and communication skills.
•
Proven ability to lead technical projects and mentor team members.
•
Required Skills & Technologies
•
•
SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views — hands-on experience pulling data from SAP FI/CO modules
•
•
Python — async data pipelines, background jobs, scheduled tasks
•
•
PostgreSQL — schema design, migrations (Alembic), query optimization, partitioning
•
•
Azure Data Lake Storage + Synapse Analytics
•
•
Microsoft Graph API — SharePoint, M365, organizational data
•
•
Apache Airflow or Azure Data Factory
•
•
dbt or equivalent for transformation and quality testing
•
•
Redis — queue management, TTL, cache invalidation
•
•
Observability — structured logging, Azure Monitor or Prometheus/Grafana
•
•
Docker — containerized pipeline jobs
•
•
Infrastructure-as-code (Terraform or equivalent)
Benefits
•
Paid Time Off
•
Performance Bonus
•
Training & Development