This opportunity was withdrawn on Friday 15 October 2021

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Ministry of Defence (MOD)

Defence Assurance Risk Tool (DART) Data Analysis and Transformation

7 Incomplete applications

6 SME, 1 large

1 Completed application

1 SME, 0 large

Important dates

Published
Friday 8 October 2021
Deadline for asking questions
Tuesday 12 October 2021 at 11:59pm GMT
Closing date for applications
Friday 15 October 2021 at 11:59pm GMT

Overview

Specialist role
Data engineer
Off-payroll (IR35) determination
Supply of resource: the off-payroll rules will apply to any workers engaged through a qualifying intermediary, such as their own limited company
Summary of the work
The existing data structure and data holdings within DART are the result of an evolution of the tool over several years. DART was originally conceived to capture data about MOD system. This data needs to be analysed, better structured, made complete and then exploited for the benefit of Defence.
Latest start date
Monday 8 November 2021
Expected contract length
The resource is required until the 31st March 2022
Location
East of England
Organisation the work is for
Ministry of Defence (MOD)
Maximum day rate
£750 per day MAX. (excluding VAT and inclusive of T&S). Standard 8 hour working day.

About the work

Early market engagement
N/A
Who the specialist will work with
The Data Engineer will work with the CySAAS DART and Accreditation team to analyse existing DART data, improve reporting metrics and identify data attributes that will inform the disvovery phase of DART2.

The Data Engineer will also work with the Secure by Design team from the Cyber Resiliance Programme and the Standards as a Service Team.
What the specialist will work on
1. Engage with stakeholders across Defence to determine Reporting Metrics required from DART

2. Identify key data attributes and data value streams within DART

3. Produce new business reporting metrics from existing data.

4. Analyse data quality within DART and identify Targets of Accreditation (TOA) that require improvements in daya quality

5. Communicate with TOA owners attributes that require improved data quality

6. Exploit existing data feeds from DART to inform future tooling Discovery phase

Work setup

Address where the work will take place
RAF Wyton, Huntingdon, Cambridgeshire.

Remote at CySAAS Tooling Lead discretion.
Working arrangements
Your primary location will be RAF Wyton. You will be expected to work on-site most of the time. You will need to be on-site because the role will see interaction with key individuals across CySAAS as well as access classified information.

Expenses will be within your daily rate for your regular work location. Additional travel expenses will be available should you need to travel to other sites beyond RAF Wyton. The MOD also supports flexible working (when possible), at the discretion of the programme manager.
Security clearance
Active SC clearance is required by the start date of the contract and this will not be sponsored by the MOD.

Additional information

Additional terms and conditions
All expenses must be pre-agreed between the parties and must comply with the MOD Travel and Subsistence (T&S) Policy.

Off-payroll working rules apply (IR35 in-scope). Any Personal Services Company (PSC) candidates will require to come through an umbrella company.

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate suppliers’ technical competence.

Essential skills and experience
  • Proven experience as a Data Engineer
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Engineering or other numerical field is preferred
  • Experience of Agile development CI/CD pipeline
  • Know how to undertake data profiling and source system analysis and can present clear insights to colleagues to support the end use of the data.
  • Excellent communication and presentation skills and ability to communicate effectively with both technical and non-technical audiences
  • Understanding of linking data feeds between different tools to exploit common data
Nice-to-have skills and experience
Can demonstrate experience of working with data that informs risk management decisions.

How suppliers will be evaluated

All suppliers will be asked to provide a work history.

How many specialists to evaluate
3
Cultural fit criteria
  • Work as a team with our organisation and other suppliers
  • Be transparent and collaborative when making decisions
  • Have a no-blame culture and encourage people to learn from their mistakes
  • Take responsibility for their work share knowledge and experience with other team members
Additional assessment methods
Interview
Evaluation weighting

Technical competence

50%

Cultural fit

15%

Price

35%

Questions asked by suppliers

No questions have been answered yet