Defence Online

Type of document: Contract Notice
Country: United Kingdom

1. Title: DEFENCE ASSURANCE RISK TOOL (DART) DATA ANALYSIS AND TRANSFORMATION – SHORT DEADLINE
2. Awarding Authority: Ministry of Defence (MOD), GB. Web:
3. Contract type: Service contract
4. Description: 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
5. CPV Code(s): 72000000, 72260000, 79620000, 72212000
6. NUTS code(s): UKK, UKK1, UKK11, UKK, UKK1, UKK15, UKI, UKI7, UKI74, UKJ, UKJ3, UKJ36
7. Main site or location of works, main place of delivery or main place of performance: East of England
Address where the work will take place RAF Wyton, Huntingdon, Cambridgeshire.
Remote at CySAAS Tooling Lead discretion.
8. Reference attributed by awarding authority: Not provided.
9. Estimated value of requirement: Maximum day rate £750 per day MAX. (excluding VAT and inclusive of T&S). Standard 8 hour working day.
10. Closing date for applications 15.10.2021 (23:59).
11. Address to which they must be sent: For further information regarding the above contract notice please visit
12. Other information: Deadline for asking questions Tuesday 12 October 2021 at 11:59pm GMT
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
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
Latest start date Monday 8 November 2021
Expected contract length The resource is required until the 31st March 2022
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
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%
TKR-2021108-EX-1704777