Data Engineer (Remote) - Scalable Pipelines & Data Foundations

Methods; West of England; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private Medical Insurance

Pension salary exchange

25 days annual leave

Job summary

Methods is recruiting a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

You will support complex client engagements where data engineering is used to stabilise business-critical processes, improve reporting confidence and establish repeatable data foundations across enterprise systems.

Qualifications

• Experience with data from Ariba, Workday, SAP S/4HANA or comparable sources.
• Hands-on data profiling, cleansing, mapping and reconciliation.
• Translate business requirements into data engineering actions.
• Knowledge of data ownership, lineage, metadata and governance.
• Experience with test-driven development in data pipelines.
• Proven leadership of technical data projects.
• Strong SQL and Python skills.
• Experience with Azure Data Factory or Airflow.
• Docker and Kubernetes experience.

Responsibilities

• Design, build and improve ETL/ELT pipelines across enterprise sources.
• Create data catalogues, data flows and trusted source views.
• Architect modern data solutions aligned with business goals.
• Improve data quality and governance foundations.
• Collaborate with architects, stakeholders and leadership.
• Present technical solutions to non-technical audiences.

Skills

SQL

Python

Azure Data Stack

Apache Spark

ETL/ELT pipelines

Data Modelling

Data Warehousing

Data Governance

Docker

CI/CD

Tools

Power BI

Databricks

Apache Airflow

Azure Data Factory

Kubernetes

Job description

Methods is recruiting a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

You will support complex client engagements where data engineering is used to stabilise business-critical processes, improve reporting confidence and establish repeatable data foundations across enterprise systems.