Data Engineer

Manchester, England, United Kingdom

12/20/2024

Job Description

Typical Responsibilities:

Develop and maintain data products. Data Engineering teams are responsible for

the delivery and operational stability of the data products built and provide

ongoing support for those products. Data Engineers work within, and contribute

to, the overall data development lifecycle process as part of multi-functional Agile

delivery teams focused on one or more products. Data Engineers should have

The Following Essential Skills

• Ability to shape solutions in a fit for purpose way, following the agreed
  
  

principles and contribute to the overall Data Engineer development lifecycle.

• Ability to support the day-to-day testing and produce robust test plans to
  
  

ensure quality solutions and the live running of data products and services.

• Ability to perform data profiling and quality measurements, ensure data
  
  

quality/accuracy, knowledge of structured and unstructured data concepts,

developing automated data ingest routines, workflows/mappings and data

exploitation patterns and data analysis.

• Own the stability of products designed, including the on-going robustness,
  
  

resilience, and stability of these products.

• Ability to identify, manage, and resolve issues/problems preventing the
  
  

delivery or continuous development of products, using analytical skills to

develop query solutions from specification to conclusion and implementation.

• Ability to support the growth of the team, by keeping abreast of market and
  
  

industry trends, and sharing knowledge and experience with the rest of the

team. Take responsibility for their own learning and development continuously

improving knowledge and skills.

Typical Data Engineering Experience required (5+ yrs):

• Knowledge and experience of Azure/AWS Cloud data solution provision.
  
  

(Preference will be given to those who hold relevant certifications)

• Proficient in SQL.
• Ability to develop and deliver complex visualisation, reporting and dashboard
  
  

solutions using tools like Power BI.

• Enterprise-scale experience with ETL tools (Informatica and or similar).
• Experience of data modelling and transforming raw data into datasets and
  
  

extracts.

• Experience of working in a large project /scale complex organisation and
  
  

knowledge of migrating legacy capabilities.

• Experience in Agile.
• Ability to analyse and collect information and evidence, identify problems and
  
  

opportunities, and ensure recommendations fit with strategic business

objectives.

• Experience of building team capability through role modelling, mentoring, and
  
  

coaching.

• Ability to manage relationships with non-technical colleagues and can work in
  
  

a collaborative, inclusive way.

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