Lead Data Engineer

Posted 04 August 2022
Salary £60000 - £70000 per annum
LocationManchester
Job type Permanent
DisciplineBI, Data & Analytics
ReferencePR/012244_1659700071
Contact NameJordan Stansfield

Job description

Lead Data Engineer
Manchester
Up to £70,000

We are looking for a Lead Data Engineer with a proven background in business intelligence architecture and implementation, alongside a track record of database administration to join our team, reporting to the Head of IT Development.

Key Responsibilities

  • Defining and building data warehouse and reporting solutions
  • Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems.
  • Write consultancy level reports to be consumed by technical and non-technical audiences.
  • Configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security.
  • Responsible for the implementation, configuration, maintenance, and performance of critical SQL Server systems, to ensure the availability and consistent performance of customer sites.

Skills & Qualifications

As a Lead Data Engineer you will be expected to demonstrate certain skills in order to successfully fulfil the role. These include:

  • MS SQL Server Administration experience
  • Experience with tuning and optimization for performance.
  • Experience of troubleshooting tools ideally both on-premises and in the cloud.
  • Experience with backups, restores and recovery models.
  • Monitor database performance to avoid bottlenecks and critical conditions to ensure continued delivery of service.
  • Excellent understanding of the SQL Server architecture.
  • Excellent understanding of T-SQL queries, stored procedures, user-defined functions, views, indexes, and developer code associated with the database.
  • Experience managing and troubleshooting Windows Server.
  • Azure, azure DevOps, SQL platform, T-SQL, PowerBI, MySQL, ComosDB
  • Building and improving Data Architecture or modern data platforms
  • Experience with data storage technologies such as data lakes, data warehouse and traditional SQL data bases.
  • Data Modelling (3NF, star schema etc)
  • Data lake development using big data technologies or cloud native solutions

Desirable Skills

  • ITIL incident management and problem management.
  • PowerShell scripting experience.
  • Crystal Reporting
  • Alternative Databases (PostgreSQL, MongoDB)
  • Google Analytics, BigQuery