CDI Data Engineer

3 CDI Data Engineering vacancies, differing mainly in where they sit within the customer data lifecycle.

The first is the most data-centric, the second is the most DevOps/MLOps-oriented, and the third is the most transformation-focused.

Remote working.

Client Details

Our client operates within the Oil and Gas sector. British Petroleum.

Description

Role 1: CDI Data Engineer

Implement and maintain SCI base, fact and curated pipelines.

Deliver Elavon/PAR/WRE/payment and loyalty matching.

Support ICE-to-EV data engineering and dashboard datasets.

Implement DO-site and market-specific logic.

Investigate volume drops, match-rate changes and data completeness defects.

Execute controlled reloads, production validation, DQ/freshness controls and BAU support.

Prepare PRs, tests, technical designs, CAB/release evidence and stakeholder

Role 2: BNA Production-Readiness, MLOps & Integration Engineer:

Automate end-to-end BNA orchestration

Reliable retry/recovery and idempotent processing

Production monitoring and alerting automated activation and acknowledgement handling

Reducing manual intervention Stable QA production deployment process

Runbooks and operational handover

Reducing runtime and production failures

Role 3: CIS/SCI Integration & Post-Migration Stabilisation Engineer:

Repointing remaining CIS/SCI dependencies

Stabilising migrated pipelines

Reusable error-handling patterns

Reducing legacy technical debt

Removing dual-platform monitoring

Resolving SFMC/Comarch integration issues

Reducing production support burden

Clear handover into BAU

Profile

Role 1: CDI Data Engineer

Must Have worked with:

Strong SQL, Python/Spark and Databricks pipeline engineering background.

Large-scale transaction, payment, loyalty, EPOS/WRE and identity-matching work history

Historical/full/incremental loads, high-water marks and reconciliation.

Azure DevOps PRs, unit testing, CI/CD and production release support.

Nice to have: Reporting/Power BI dataset exposure desirable. SFMC/CIS integration and multi-market SCI knowledge desirable.

Role 2: BNA Production-Readiness, MLOps & Integration Engineer

Must Have:

Strong hands-on background in Databricks, PySpark, Python and SQL Production pipeline engineering and troubleshooting

Workflow orchestration and dependency management Idempotency, retry/restart and failure-recovery patterns CI/CD, version control and automated deployment

Worked across monitoring, logging and operational alerting

Completed data-quality and reconciliation controls API/file/SFTP integration patterns

Nice to have: Delta Lake / Delta MERGE Databricks Asset Bundles Azure DevOps MLOps/model deployment work history SFMC or Comarch integration Customer decisioning / personalisation platforms

Role 3: CIS/SCI Integration & Post-Migration Stabilisation Engineer

Must Have worked with:

Strong hands-on background with Databricks, SQL, Python/PySpark ETL/ELT Data-pipeline migration

Legacy-to-cloud modernisation

Production troubleshooting

Dependency analysis

Pipeline repointing

Error handling and recovery

Data validation/reconciliation

Integration testing

Production support / L2-L3 troubleshooting

Nice to have: AWS-to-Databricks migration Informatica / SSIS / legacy ETL SFMC Comarch SFTP/file interfaces Azure/AWS CI/CD

Job Offer

£400-£500 day rate

Remote working

12 months contract

Inside IR35 only.