Senior Data Engineer – Hybrid Azure Data Platform

Methods Business and Digital Technology Ltd; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Flexible Working (home working and part time)

25 days annual leave plus bank holidays

Access to LinkedIn Learning

Private Medical Insurance

Job summary

Methods Business and Digital Technology Ltd is hiring a Senior Data Engineer in Greater London. You will design, build, and maintain data infrastructure systems across on-premises and Azure environments.

This role involves managing data pipelines, implementing data storage solutions, and ensuring data security. Ideal candidates should have strong Python skills, experience with Azure Data Factory, and knowledge of Kafka for real-time data streams.

The company offers a collaborative environment, 25 days of annual leave, and various benefits including flexible working.

Qualifications

• Strong Python skills for scripting and automating data processes.
• Experience in developing and optimising ETL or ELT workflows.
• Practical experience with Azure Data Factory.
• Ability in managing event streaming platforms like Kafka and NATS.
• Experience with security practices and tools, including Keycloak.
• Background in managing Elasticsearch and PostgreSQL.

Responsibilities

• Deploy and manage scalable data operations for analytics.
• Manage data pipelines using Python/Go/Azure Data Factory.
• Implement data storage solutions with Azure infrastructure.
• Utilise event‑driven technologies for real‑time data streams.
• Manage security setups and access controls.
• Design and develop PostgreSQL databases.

Skills

Python

ETL/ELT workflows

Azure Data Factory

Kafka

PostgreSQL

Keycloak

Elasticsearch

Go

Job description

Methods Business and Digital Technology Ltd is hiring a Senior Data Engineer in Greater London. You will design, build, and maintain data infrastructure systems across on-premises and Azure environments.

This role involves managing data pipelines, implementing data storage solutions, and ensuring data security. Ideal candidates should have strong Python skills, experience with Azure Data Factory, and knowledge of Kafka for real-time data streams.

The company offers a collaborative environment, 25 days of annual leave, and various benefits including flexible working.