Data Engineering Trainer

UK, Other, Site Based

QA

Learn. To Change. QA empowers organisations to learn, master and apply new tech skills at scale through expert-led training, courses & apprenticeships.

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General information

Reference

1000008355  

Vacancy details

Talent pool

Delivery - Group Learning Technical

Title

Data Engineering Trainer

Contract type

QA Ltd Permanent

Job advert

Data Engineering Trainer
Location: Remote (with some travel to QA sites and client locations)
Full time/Permanent

 

You will be responsible for delivering both QA and vendor specific innovative professional Data Engineering, Data Science and AI courses to our clients.

As the industry evolves you will support the design and development of new innovative training courses.

Working with stakeholders to design, develop and deliver tailored training programmes to meet our client needs.

 

Role Responsibilities:

  • Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+
  • Achieve ‘Meeting Expectations’ in trainer observation
  • Conduct peer observations
  • Capably engage with clients to understand their business need and identify an appropriate learning solution
  • Lead the design, development, and delivery of tailored learning programmes
  • Provide in-depth expert Data knowledge, offering insights on cross functionally when required
  • Develop and maintain stakeholder relationships

 

 

Your Experience/Skills:

Communication and Teaching: Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging manner

Technical Proficiency: Expertise in data science programming languages (e.g. Python, R, PyTorch, Java) and data processing frameworks (e.g. Apache Hadoop, Spark) is essential. Proficient in PowerBi, Tableau or Qlik

Data Management: Strong understanding of data modelling, ETL processes, and database management (SQL and NoSQL) to design and maintain robust data architectures

Analytical Skills: Ability to perform root cause analysis, optimize data pipelines, and ensure data quality and integrity

Industry Knowledge: Familiarity with cloud computing platforms (AWS, GCP, Azure) and experience working with AI/ML engineers, data scientists, and other data professionals

Wider Knowledge: Desirable knowledge of data governance and managing data engineering projects aligned with business objectives

 

 

 

What We'll Do For You!

About QA

At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest-growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners since 1985.

 

We believe skills alone aren’t enough but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solution draws from deep expertise across apprenticeships and instructor-led training, and self-paced learning.

Please find out more about us at https://www.qa.com/about/careers/

 

 

Vacancy location

Location

UK, Other, Site Based

Handled by

Handled by

  • Laura Pitt
  • Vidita Kabbe - QA

Primary handler

Vidita Kabbe - QA

Last name

Kabbe - QA

Forename

Vidita

Email

Vidita.Kabbe@qa.com

Job Description

Attachment

Data+Engineering.Principal+Technical+Learning+Specialist.docx (99 Kb)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Data governance Data management Data pipelines Data quality Engineering ETL GCP Hadoop Java Machine Learning NoSQL Pipelines Power BI Python PyTorch Qlik R Spark SQL Tableau Teaching

Perks/benefits: Career development

Region: Europe
Country: United Kingdom

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