Senior Data Engineer — Remote, Travel-Ready

Methods

West of England

Remote

GBP 65,000 - 90,000

Full time

10 days ago

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Benefits offered by this job

Flexible Working
Private Medical Insurance
Pension
25 days annual leave

Job summary

Methods is seeking a permanent Mid/Senior Data Engineer to help stabilise processes and establish repeatable data foundations across enterprise systems. You’ll work mainly remotely with travel to client sites and our London, Sheffield, and Bristol offices.

You will contribute to data architecture, governance and reporting foundations for ongoing transformation. You will implement robust ETL/ELT pipelines, build data models, and advance cloud-based data solutions using Azure, Spark and Databricks

Qualifications

  • You will demonstrate iterative work with architects and stakeholders to translate requirements into data actions.
  • Strong knowledge of data profiling, cleansing, mapping and reconciliation across enterprise systems.
  • Experience with CI/CD for data solutions and data governance practices.

Responsibilities

  • Design, build and improve ETL/ELT pipelines to support ingestion, profiling, cleansing and reporting.
  • Develop data models and scalable architectures aligned with business objectives.
  • Collaborate with stakeholders to translate requirements into technical specs and governance foundations.
  • Lead technical aspects of data projects and advocate for test-driven development in pipelines.

Skills

SQL
Python
ETL/ELT design
Data modelling
Azure Data Services
Spark / PySpark
Airflow
Docker
Kubernetes
Databricks
Power BI

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory
Apache Airflow
SQL Server/Data Warehouse
Databricks

Job description

Methods is seeking a permanent Mid/Senior Data Engineer to help stabilise processes and establish repeatable data foundations across enterprise systems. You’ll work mainly remotely with travel to client sites and our London, Sheffield, and Bristol offices.

You will contribute to data architecture, governance and reporting foundations for ongoing transformation. You will implement robust ETL/ELT pipelines, build data models, and advance cloud-based data solutions using Azure, Spark and Databricks

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