Senior Data Engineer — Remote ETL/ELT & Data Foundations

Methods Business and Digital Technology; West of England; On-site; GBP 70,000 - 100,000; Full time

Job summary

Methods is seeking a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. The role is primarily remote with travel to client sites and offices in London, Sheffield and Bristol.

You will design and implement ETL/ELT pipelines, build data models and data governance foundations, and collaborate with architects, process owners and business stakeholders to stabilise and transform data foundations across enterprise systems such as procurement, workforce and finance.

Qualifications

• Experience with data from enterprise systems (ERP, procurement, HR, finance)
• Hands-on profiling, cleansing, mapping and reconciliation of data
• Ability to translate business issues into data solutions
• Knowledge of data ownership, lineage and metadata concepts
• Experience implementing test-driven development in data pipelines
• Leadership of technical aspects of data projects

Responsibilities

• Design, build and improve ETL/ELT pipelines for ingestion, profiling and reporting across enterprise sources
• Create data catalogues, data flows and trusted source views
• Architect modern data solutions aligning with business objectives
• Improve data quality and governance across client engagements
• Develop scalable data models and optimise large-scale processing
• Collaborate with architects and stakeholders to translate requirements into technical specs

Skills

SQL

Python

Azure Data Stack

Apache Spark

ETL/ELT

Data Modeling

Data Governance

CI/CD for data

Docker

Airflow

Education

Bachelor's degree in Computer Science or a related field

Tools

Azure Data Factory

Databricks

Docker

Kubernetes

Apache Airflow

Job description

Methods is seeking a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. The role is primarily remote with travel to client sites and offices in London, Sheffield and Bristol.

You will design and implement ETL/ELT pipelines, build data models and data governance foundations, and collaborate with architects, process owners and business stakeholders to stabilise and transform data foundations across enterprise systems such as procurement, workforce and finance.