Senior Data Engineer - Cloud Data & MDM

Lloyds Bank plc; Bristol; Hybrid; GBP 73,000 - 81,000; Full time

Benefits offered by this job

Pension up to 15%

Annual performance bonus

Share schemes including free shares

Discounted shopping

30 days holiday

Wellbeing initiatives

Parental leave policies

Job summary

Lloyds Bank plc in Bristol is recruiting a Senior Data Engineer (CDS) to build and optimise data pipelines and architectures across the organisation. The role focuses on Informatica, IBM product manager and Google Cloud Platform, leveraging BigQuery, DBT, Kafka, SQL and analytics tools.

The team follows agile practices with a strong emphasis on automation, testing, and governance. Hybrid working with 2 days in the Bristol office supports collaboration and delivery of data solutions that drive

Qualifications

• Data engineering capabilities across data management and pipelines.
• Familiarity with MDM, reference data and product data management.
• Experience with cloud platforms (GCP/AWS/Azure) and data engineering services.
• Proficiency with BigQuery, SQL and data warehouse technologies.
• Experience with BI tools (Tableau/Power BI/Looker).
• Knowledge of DevOps practices, CI/CD and containerisation.

Responsibilities

• Build and optimise data pipelines and architectures.
• Work within Informatica, IBM product manager and GCP ecosystems.
• Automate tests and deployments; follow agile governance.
• Mentor engineers and promote reusable data solutions.
• Develop skills in data engineering and agile practices.

Skills

Data Engineering

Data Management

Data Literacy

MDM & Reference Data

Cloud Platforms

SQL & BigQuery

Data Modelling

Data Visualization

DevOps (CI/CD)

Certifications

Tools

BigQuery

DBT

Kafka

SQL

Tableau

Power BI

Looker

Docker

Kubernetes

GCP

Job description

Lloyds Bank plc in Bristol is recruiting a Senior Data Engineer (CDS) to build and optimise data pipelines and architectures across the organisation. The role focuses on Informatica, IBM product manager and Google Cloud Platform, leveraging BigQuery, DBT, Kafka, SQL and analytics tools.

The team follows agile practices with a strong emphasis on automation, testing, and governance. Hybrid working with 2 days in the Bristol office supports collaboration and delivery of data solutions that drive