Senior Data Engineer (Informatica)

Experis
Manor Park, United Kingdom
3 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Manor Park, United Kingdom

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Confluence
JIRA
Automation of Tests
Azure
Batch Processing
Business Intelligence
Cloud Computing
Code Review
Continuous Integration
Data as a Services
Information Engineering
Data Warehousing
DevOps
Identity and Access Management
Python
Performance Tuning
Power BI
SQL Databases
Data Streaming
Spark
Gitlab
GIT
AI Platforms
PySpark
Git Flow
Functional Programming
Cloudwatch
Terraform
Software Version Control
Amazon Web Services (AWS)
Redshift

Job description

Job Title: Senior Data Engineer (Informatica) Day Rate: £400-460 - Umbrella only Clearance required: SC cleared Location: London/Hybrid Duration: 5 months

Essential Skills:

  • Informatica
  • Data project experience
  • AWS
  • Azure

Desirable Skills:

  • Hands-on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large-scale batch processing.
  • Data engineering at scale in government or similarly complex domains, including performance tuning and data quality management.
  • CI/CD & DevOps: pipelines and IaC (eg, Terraform), automated testing, and release governance.
  • Version control & collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows.
  • APIs & integration: building/consuming data services to move and expose data safely and reliably.
  • Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation.
  • Data warehousing & modelling (eg, Redshift; dimensional modelling).
  • Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows.
  • AWS ecosystem depth (Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns.

Certifications (nice to have)

AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services).

This role requires additional vetting, which means this could take longer than our normal onboarding process.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Requirements

  • Informatica
  • Data project experience
  • AWS
  • Azure

Desirable Skills:

  • Hands-on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large-scale batch processing.
  • Data engineering at scale in government or similarly complex domains, including performance tuning and data quality management.
  • CI/CD & DevOps: pipelines and IaC (eg, Terraform), automated testing, and release governance.
  • Version control & collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows.
  • APIs & integration: building/consuming data services to move and expose data safely and reliably.
  • Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation.
  • Data warehousing & modelling (eg, Redshift; dimensional modelling).
  • Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows.
  • AWS ecosystem depth (Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns.

Certifications (nice to have)

AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services).

Apply for this position