Senior Data Engineer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
This is a production engineering role.
As a Senior Data Engineer at SentraAI you will build migrate and operate data pipelines at enterprise scale involving vast numbers of source systems 100s of TB of data and 1000s of ETL workloads inside complex highly governed environments.
If you have not owned data systems in production handled failures under pressure or worked inside large complex enterprises this role is not for you.
SentraAI is delivering a multi-year data and AI transformation for a large complex enterprise.
The programme includes:
Migration from legacy Hadoop Oracle SAP and bespoke ETL systems
A modern cloud lakehouse architecture supporting batch and real-time workloads
Enterprise reporting operational analytics and Customer 360-style use cases
Downstream AI and advanced analytics at scale
This is not greenfield. These systems are used audited and relied upon.
You are accountable for data pipelines that run reliably in production.
That includes:
Designing and building Spark-based batch and streaming pipelines
Migrating large volumes of legacy ETL into modern architectures
Implementing and enforcing data quality validation and data contracts
Supporting live systems including during incidents and critical delivery windows
Communicating clearly with engineers architects and client stakeholders
Ownership does not end at deployment
Requirements
What You Will Build
Spark pipelines processing large-scale enterprise datasets
Streaming pipelines using Kafka and Spark Streaming or Flink
Medallion lakehouse layers Bronze Silver Gold
CDC pipelines using Debezium or equivalent
Data quality frameworks using Great Expectations dbt or similar
You are expected to actively use AI tools to improve development speed testing quality and operational resilience within defined governance standards.
Your experience is primarily academic conceptual or notebook-only
You have not supported data systems in production
You avoid accountability for failures or incidents
You prefer fixed hours over delivery responsibility
You are uncomfortable being challenged on technical decisions
We are explicit because the work demands it.
Within 612 months:
Pipelines you own are stable observable and trusted
Legacy ETL migrations are predictable and low-risk
Data quality issues reduce materially
Stakeholders trust your judgment and communication
You raise the bar for those around you
This is how performance is measured.
Benefits
What SentraAI Gives in Return
Work on the regions most complex data transformations
Exposure to enterprise-scale systems and real accountability
A team that values engineering rigour over optics
Meritocratic progression based on impact not tenure
Career capital that carries real weight globally
Final Note
SentraAI is not for everyone.
It is for engineers who want to build systems that matter take ownership seriously and grow through responsibility rather than protection.
If that describes how you work Lets Talk!
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
