Ab Initio Data Integration Engineer — Hybrid

United States Digital Space LLC

Greater London

Hybrid

GBP 68,000 - 83,000

Full time

14 days+

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Benefits offered by this job

25 days holiday
Private medical insurance
Pension plan
Annual performance bonus
Training and development
Salary sacrifice options
Life assurance
Wellhub health & wellness resources
Volunteer days

Job summary

Nationwide is seeking an Ab Initio Developer to design, build and support data integration solutions across our enterprise data pipelines. The role focuses on Ab Initio Continuous Flow and Batch Graphs, with emphasis on reliable ETL workflows and data quality.

You'll work with Kafka and relational databases, participate in testing, deployment and production support, and enjoy flexible hybrid working across the UK with periodic site attendance.

Qualifications

  • Experience in Ab Initio development within enterprise data pipelines.
  • Hands-on experience developing or supporting Ab Initio Continuous Flow Graphs and/or Batch Graphs.
  • Exposure to Kafka for data ingestion or messaging.
  • Strong SQL skills and experience with relational databases; basic Unix/Linux scripting.

Responsibilities

  • Develop and support Ab Initio Continuous Flow and Batch Graphs; build and maintain data integration workflows and ETL processes.
  • Work with Kafka and database systems for data ingestion, processing, testing, deployment and production support.

Skills

Ab Initio development
Batch & CF Graphs
Kafka data pipelines
SQL & relational DBs
Unix/Linux scripting

Tools

Ab Initio GDE
EME
Conduct IT
Control Center
Kafka

Job description

Nationwide is seeking an Ab Initio Developer to design, build and support data integration solutions across our enterprise data pipelines. The role focuses on Ab Initio Continuous Flow and Batch Graphs, with emphasis on reliable ETL workflows and data quality.

You'll work with Kafka and relational databases, participate in testing, deployment and production support, and enjoy flexible hybrid working across the UK with periodic site attendance.

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