Senior Data Engineers - FCDO - SEO

The successful candidates will:

• Work collaboratively with Enterprise Data Colleagues to develop pipelines and data product that aligns with data architecture and engineering best practice.
  • Develop data assets and products that assist Power Business Intelligence (BI) colleagues to deliver reporting products to the business.
    • Provide data engineering support to other data engineering teams within the FCDO as part of our collaborative and technical consultancy service.
      • Provide Engineering Data pipelines in Azure primarily using Azure Data Factory and also, to develop team capability, using Databricks and other tools within the Azure Cloud environment.
        • Deliver data products to a range of business domains stakeholders and to teams across the department.
          • Implement data design through good Data Engineering practice, in line with data policy and standards, and align with the roadmaps that define our Enterprise Data Architecture vision and underpin our single source of the truth. 
            • Mentor and develop skills of more junior staff. Build the capability and confidence of individuals in the Enterprise Data Service to deliver data products across the FCDO.
              • Develop a deep understanding of FCDO data and systems, working closely with the Lead Data Engineer, who supports the Data Architect to evolve FCDO's data architecture.
                • Meet the demand for data products from our customers and deliver performance data products in line with good data engineering and architecture principals.
                  • Deliver well-designed data products that help the FCDO realise the goals defined in our Data Strategy, to value through correct, trusted and valuable data, information and knowledge to our customers.
                    Person specification

                    It is essential in your application that you provide evidence and proven examples in each of the following Minimum Criteria, the Behaviours and the Technical question as far as you are able to do so. These responses will be further developed and discussed with those candidates invited for interview.

                    You must be a British Citizen at the time of application and, if invited to interview, you will need to bring proof of identity (British Passport/ Driving Licence etc.) with you.

                    This role requires you to attain Developed Vetting (DV) security clearance.

                    For more information about this process, click here. Attaining DV will require you to have been resident in the UK for five of the last ten years. At least one year of this must have been a consecutive twelve-month period. Serving overseas with HM Forces, in some other official capacity as a representative of His Majesty's Government or having lived overseas as a result of your parents' or partner's Government employment counts as UK residency for the purposes of security clearances.

                    
                    Minimum Criteria

                    Demonstratable track record of delivering the following Technical skills from the  Senior Date Engineer Government Digital Data Professional role:

                    Communicating between the technical and non-technical, Working level - you can:

                    • communicate effectively with technical and non-technical stakeholders
                    • support and host discussions within a multidisciplinary team, with potentially difficult dynamics
                    • be an advocate for the team externally
                    • manage differing stakeholder perspectives

                        Data development process,  Practitioner level - you can:

                      • design, build, and test data products that are complex or large scale
                      • build teams to complete data integration services

                        Data innovation,  Working level - you can:

                        • Understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage

                          Data integration design,  Practitioner level - you can:

                          • Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions

                            Data modelling,  Practitioner level - you can:

                            • Produce relevant data models across multiple subject areas
                            • Explain which models to use for which purpose
                            • Understand industry-recognised data modelling patterns and standards, and when to apply them
                            • Compare and align different data models
                              
                              • Knowledge of Microsoft data engineering toolsets specifically Azure Data Factory, however all relevant data experiences is valuable and will be considered.
                                • Understanding of relational data models and/ or cloud data warehouses.
                                  Behaviours

                                  We'll assess you against these behaviours during the selection process:

                                  • Working Together
                                  • Communicating and Influencing
                                  • Changing and Improving

                                    We only ask for evidence of these behaviours on your application form:

                                    • Working Together
                                      Technical skills

                                      We'll assess you against these technical skills during the selection process:

                                      • Data development process - Practitioner Level
                                      • Data modelling - Practitioner Level
                                      • Communicating between the technical and non-technical - Working level
                                      • Data Innovation -Working level
                                      • Data integration design -Practitioner level
                                      • Presentation

                                        We only ask for evidence of these technical skills on your application form:

                                        • Data development process - Practitioner Level
                                        • Data modelling - Practitioner Level