Hybrid Data Warehouse DBA & ETL Specialist

Isio

Manchester

Hybrid

GBP 40,000 - 60,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Flexible scheduling
Work-life balance support

Job summary

A UK-based technology firm is seeking a Database Administrator (DBA) to enhance their data solutions in Manchester. The role involves developing strategies for database architecture, ensuring performance optimization, and maintaining data integrity. Ideal candidates will possess strong SQL skills and experience with key RDBMS platforms. You will collaborate closely with various teams to ensure data systems deliver effective solutions. A hybrid work model is offered to support work-life balance.

Qualifications

  • Strong SQL skills and experience with at least one major RDBMS.
  • Experience with ETL/ELT tooling and data pipeline design.
  • Understanding of data modelling principles.
  • Experience diagnosing and resolving database performance issues.
  • Familiarity with database security practices.

Responsibilities

  • Develop and implement database architecture strategy.
  • Own the database architecture for data warehouses and systems.
  • Manage database change control processes.
  • Monitor database performance and availability.
  • Work closely with teams to deliver data solutions.

Skills

Strong SQL skills
Experience with major RDBMS
ETL/ELT tooling experience
Data modelling principles
Database performance tuning
Familiarity with database security practices
Excellent communication skills
Planning and Organisational skills
Strong analytical skills

Tools

SQL Server
PostgreSQL
Oracle
Azure Data Factory
Snowflake

Job description

A UK-based technology firm is seeking a Database Administrator (DBA) to enhance their data solutions in Manchester. The role involves developing strategies for database architecture, ensuring performance optimization, and maintaining data integrity. Ideal candidates will possess strong SQL skills and experience with key RDBMS platforms. You will collaborate closely with various teams to ensure data systems deliver effective solutions. A hybrid work model is offered to support work-life balance.
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