Expert Data Engineer at Sabenza IT & Recruitment

About the position

About the Role:


The Data Engineer will work on enterprise-wide data provisioning, spanning multiple data governance domains and data assets. Responsibilities include ensuring secure data sharing, adhering to protection and compliance requirements, supporting enterprise Data & Analytics initiatives (including high-priority use cases), and enabling data provisioning for operational processes.


Role Responsibilities:


Data Engineers in this environment are custodians of critical data assets and pipelines. Responsibilities include:


·       Building and maintaining large-scale Big Data pipelines on cloud-based data platforms


·       Ensuring secure and compliant data sharing aligned with information classification standards


·       Supporting enterprise Data & Analytics initiatives and high-priority use cases


·       Continuously improving and automating data engineering processes


·       Evaluating emerging tools and technologies to drive innovation


·       Mentoring and upskilling team members


·       Maintaining high-quality technical documentation



RequirementsEssential Skills:


Candidates must demonstrate strong, above-average expertise in:


Cloud & Infrastructure

• Terraform
  
• Docker
  
• Linux / Unix
  
• CloudFormation
  
• CodeBuild / CodePipeline
  
• CloudWatch
  
• SNS
  
• S3
  
• Kinesis Streams (Kinesis, Firehose)
  
• Lambda
  
• DynamoDB
  
• Step Functions
  
• Parameter Store
  
• Secrets Manager
  

 


Programming & Data Engineering

• Python 3.x
  
• SQL (Oracle / PostgreSQL)
  
• PySpark
  
• Boto3
  
• ETL development
  
• Big Data platforms
  
• PowerShell / Bash
  

 


Data Platforms & Tools

• Glue
  
• Athena
  
• Technical data modelling & schema design (hands-on, not drag-and-drop)
  
• Kafka
  
• AWS EMR
  
• Redshift
  

 
Business & Analytics

• Business Intelligence (BI) experience
  
• Strong data governance and security understanding
  

 


Advantageous Skills:

• Advanced data modelling expertise, especially in Oracle SQL
  
• Strong analytical skills for large, complex datasets
  
• Experience with testing, data validation, and transformation accuracy
  
• Excellent documentation, written, and verbal communication skills
  
• Ability to work independently, multitask, and collaborate within teams
  
• Experience building data pipelines using AWS Glue, Data Pipeline, or similar
  
• Familiarity with AWS S3, RDS, and DynamoDB
  
• Solid understanding of software design patterns
  
• Experience preparing technical specifications, designing, coding, testing, and debugging solutions
  
• Strong organisational abilities
  
• Knowledge of Parquet, AVRO, JSON, XML, CSV
  
• Experience with Data Quality tools such as Great Expectations
  
• Experience working with REST APIs
  
• Basic networking knowledge and troubleshooting skills
  
• Understanding of Agile methodologies
  
• Experience with documentation tools such as Confluence and JIRA
  

Qualifications & Experience

• Relevant IT, Business, or Engineering Degree
  
• Experience developing technical documentation and artefacts
  
• Experience with enterprise collaboration tools
  

 


Preferred Certifications


Candidates with one or more of the following will be prioritised:



·       AWS Cloud Practitioner


·       AWS SysOps Associate


·       AWS Developer Associate


·       AWS Architect Associate


·       AWS Architect Professional


·       HashiCorp Terraform Associate

Desired Skills:

• Terraform
• Python
• Docker
• AWS
• SQL

Desired Qualification Level:

• Degree

About The Employer: