Skip to content
Corndel Forms
  • (Old) Development Objectives
  • 2023 Corndel Data Literacy Audit
  • 2023 Corndel Data Literacy Audit – Confirmation
  • aaatest
  • Audit Tool
  • Audit Tool – Traineeships
  • BD Training Needs Analysis
  • Behaviour Statement
  • Behaviour Statement – Nominee Details
  • Behaviour Witness Statement
  • Behaviour Witness Statement – Business Change Professional
  • Behaviour Witness Statement – Leadership & Management – Level 5
  • Behaviour Witness Statement – Nominee Details
  • Behaviour Witness Statement – People Professional Level 5
  • Behaviour Witness Statement – Strategic People Professional
  • Behaviour Witness Statements – Leadership and Management
  • Behaviour Witness Statements – Nominee Details – BCP4
  • Behaviour Witness Statements – Nominee Details – LM3.6
  • Behaviour Witness Statements – Nominee Details – LM5
  • Behaviour Witness Statements – Nominee Details – PP5
  • Behaviour Witness Statements – Nominee Details – SPP7
  • Behavioural Witness Statements
  • Behavioural Witness Statements – Nominee Details
  • CCL Observations Tool
  • Coaching Feedback Form – Business Associate Level 3 Evidence
  • Coaching Feedback Form: Business Associate Level 3 Evidence
  • Completion Survey
  • Completion Survey – 2025 v2
  • Completion Survey – Business Impact
  • Completion Survey Confirmation
  • Corndel Application Form
  • Corndel Client Experience Survey
  • Corndel Diploma Level 3 Mock Knowledge test
  • Corndel Diploma Level 5 Mock Knowledge test
  • Corndel Software Engineering Bootcamp – Training Hours Confirmation
  • Data Analytics Employer Reference
  • Data Analytics Employer Reference Confirmation
  • Data Analytics EPA Gateway Form
  • Data Analytics Unit 4 EOU Project Brief
  • Data Analytics Unit 4 EOU Project Review
  • Data Analytics Unit 4 Project Component Confirmation
  • Data Essentials EPA Gateway Form
  • Data skills assessment
  • Development Objectives Confirmation
  • Doc-Central
  • Equality and Diversity Confirmation
  • Equality and Diversity Monitoring form
  • Evidencing Excellence
  • Excellence Review
  • Excellence Team – Quarterly Development Objectives
  • Feedback
  • Feedback Survey Confirmation
  • GLA STEM – Learning Support Assessment
  • Happiness Survey
  • Happiness Survey 2021
  • Happiness Survey Confirmation
  • Home
  • Home Schooling Support
  • Home Schooling Support – Scheduling
  • Honey & Mumford’s Learning Styles Questionnaire
  • Honey & Mumford’s Learning Styles Questionnaire
  • Induction Feedback
  • Learner Status Change Form
  • Learner/Employer Feedback
  • Line Manager Survey
  • Line Manager Survey – Confirmation
  • Masterclass Feedback
  • Mock Knowledge Test Confirmation
  • Module Feedback
  • Module Feedback – Link Generator
  • Monthly Feedback
  • Observation Tool v2 Test
  • Observations Tool
  • Observations Tool – Traineeships
  • Observations Tool v2
  • Observations Tool v3
  • Ofsted Q&A
  • Ofsted Scheduling
  • Ofsted Scheduling – Delivery Director Sign-off
  • Power Automate Testing
  • Quarterly Development Objectives
  • Quarterly Development Objectives Test V2
  • Reflection Survey
  • Request for Learning Support
  • Rutland 2021 – Activity Booking
  • Safeguarding Referral
  • Self Assessment & Training Needs Analysis – Traineeships
  • Self Assessment and Training Needs Analysis
  • SfB Training Needs Analysis
  • Skills for Business – Completion Survey
  • Skills for Business Completion Survey
  • Skills for Business Referral
  • Skills Radar – AI Productivity Level 3
  • Skills Radar – Business Associate Level 3
  • Skills Radar – Business Change Professional Level 4
  • Skills Radar – Chartered Manager Degree
  • Skills Radar – Chartered Manager Degree
  • Skills Radar – Data Engineering Level 5
  • Skills Radar – Data-Driven Leader Level 3
  • Skills Radar – Data-Driven Professional – Google Tools – Level 3
  • Skills Radar – Data-Driven Professional Level 3
  • Skills Radar – Digital and Technology Solutions Professional Degree
  • Skills Radar – Fundraiser Level 3
  • Skills Radar – Leadership and Management Level 3
  • Skills Radar – Leadership and Management Level 5
  • Skills Radar – Leadership and Management Level 5
  • Skills Radar – People Professional – Level 5
  • Skills Radar – Strategic People Level 7
  • Skills Radar – Data Analyst Level 4
  • Skills Radar – Dev Ops Level 4
  • Skills Radar – Leadership and Management Level 3
  • Skills Radar – Leadership and Management Level 7
  • Skills Radar – Project Management Level 4
  • Skills Radar – Project Management Level 4
  • Skills Radar – Software Developer Level 4
  • Submit an anonymous idea
  • Team Corndel – Pulse Survey
  • TEST
  • Test 1234
  • Test 2
  • Test email
  • TestCF
  • The Corndel Data Analytics Diploma Alteryx Skill Scan
  • The Corndel Data Analytics Diploma Skill Scan
  • The Corndel Data Essentials Diploma Skill Scan
  • The Corndel DevOps Engineering Diploma Skill Scan
  • The Corndel Project Management Diploma Skills Scan
  • The Corndel Software Developer Diploma Skill Scan
  • The Imperial College and Corndel Executive Development Programme – Your Application
  • TNA Confirmation
  • Training Needs Analysis
  • Tutor Bespoke Workshop – Feedback
  • We have received your skill scan.
  • Work Placement Risk Assessment
  • Workshop Feedback
  • Workshop Feedback
  • Workshop feedback – Survey request
  • Skills Radar – Data Engineering Level 5

    "*" indicates required fields

    1Details
    2Part 1
    3Part 2
    4Part 3
    5Qualifications, Prior Learning & Experience
    Welcome to the Corndel Data Engineering Level 5 Skills Radar.


    This skills radar is a self assessment tool that is used to confirm your eligibility for this apprenticeship, and to help us to understand your current level of knowledge, skills and behaviours against those of this programme. If you hold qualifications, or have prior learning or experience related to this programme we will contact you to discuss this further, as you may not be eligible for government funding.

    This field is hidden when viewing the form
    DD slash MM slash YYYY

    Your details

    Name*
    Aptem email address*

    Your data will be processed by Corndel in accordance with their Privacy Policy.
    Privacy policy*
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
    12345678910
    Uses of different on-demand cloud computing platforms
    Approved organisational architectures and the relevant data development frameworks
    Types and uses of data engineering tools in organisations and how to apply them
    Maintaining a working knowledge of data use cases within organisations
    Data normalisation principles and the advantages achieved for data protection, redundancy and inconsistent dependency
    Different types of data stores to monitor and optimise the performance of data products
    12345678910
    Techniques such as star schemas, data lakes and data marts and the impact they have on data warehousing principles
    Working collaboratively with different stakeholders to develop and maintain working relationships
    Methods and techniques used to communicate messages about the data product that meet the needs of the audience
    Collate, evaluate and refine user requirements to design and build a scalable data product that serves multiple needs and complies with regulatory requirements
    Inherent risks of data and how to ensure data quality
    Data quality metrics and their frameworks and tracks them to ensure quality, accuracy and reliability of the data product
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
    12345678910
    Tools and programming to query and manipulate data and implement automated validation checks, showing the methodologies used for moving data from one system to another for storage and handling
    Data ingestion frameworks such as streaming, batching and on demand services to move data from one location to another in order to optimise data ingestion processes
    Systematically clean, validate and describe data at all stages of extract, transform and load, showing how combining disparate data sources and taking different approaches to data integration delivers value to an organisation
    Evaluate opportunities to extract value from existing data products whilst applying the principles of data and considering costs, environmental impact and potential operating benefits
    Security, scalability and governance when automating data pipelines using programming languages and data integration platforms with graphical user interfaces
    Deployment approaches for new data pipelines and automated processes
    12345678910
    Legislation associated with the use and collation of data, including concepts of data governance and regulatory requirements
    Data, information security standards, ethical practices and data management policies and procedures to ensure data systems are used securely and in accordance with relevant legislation
    How debugging, version control and testing have an impact on software development and the principles for data products
    Support software development principles and advocate software development best practice when working with other data professionals
    Working with structured, semi-structured and unstructured data, developing algorithms to extract from sources
    Technology and service management best practice
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
    12345678910
    Analysis of root cause investigation when responding to incidents within data processing pipelines, whilst troubleshooting and providing resolutions to stakeholders
    Identify and escalate risks and incidents, communicate downtime and issues with database access in line with policies in order to mitigate operational impact whilst ensuring business continuity
    Strengths and weaknesses of prototype data products to integrate within an organisation’s overarching data structure, taking into consideration the lifecycle of implementing data solutions in a business
    Produce and maintain technical documentation for a data product in order to meet organisational user requirements, whilst adapting to changing work priorities to ensure that deadlines are met
    Sustainable solutions in relation to data products and environmental social governance to ensure the use of less carbon across the various stages of product and service delivery
    Take responsibility to identify new tools and technologies to optimise sustainable data products and services and recommend potential opportunities for use within organisations
    12345678910
    Collate, evaluate and refine business requirements, to design, build and maintain a system whilst ensuring that organisational strategies for sustainable, net-zero technologies are considered
    Identify and remediate technical debt, assess for updates and obsolescence within their promotion of continuous improvement to the data system development process
    Prioritise sustainable outcomes and keep up to date with technological developments in data science, data engineering and AI
    Identify and assess new technologies, as well as gaps in existing tools and technologies, that offer increased performance of data products and implementation of changes required
    Principles of descriptive, predictive and prescriptive analytics
    Have you previously achieved a qualification equivalent to a level 5 (e.g. foundation degree) or above?*
    Please list all relevant qualifications*
    Click on the (+) to add further qualifications
    Title
    Level
     
    Other work experience

    Clear Signature
    This field is hidden when viewing the form
    DD slash MM slash YYYY

    020 8102 9040

    info@corndel.com

    Follow us

    Follow us

    © 2020 Corndel. Corndel Limited Company registration number 10369857