London or East Kilbride - You will be required to work from this location in line with FCDO policies on Hybrid Working (minimum 60% in the office).
We promote the interests of British citizens, safeguard the UK’s security, defend our values, reduce poverty and tackle global challenges with our international partners. We employ more than 17,000 staff in 179 countries and territories, across our diplomatic and development offices worldwide, which consists of 282 officially designated Posts. Our UK-based staff work in King Charles Street, London, Abercrombie House in East Kilbride and in Milton Keynes.
These roles contribute to FCDO's Data Strategy to improve insights to the business by provisioning it with reliable and trustworthy data sources and improving their delivery in a secure manner in compliance with Data regulations.
The team is primarily Azure focused but other Cloud technologies such as Oracle and Amazon Web Services (AWS) are used in FCDO. The successful candidates will build complex data pipelines (both Extract Transform and Load {ETL} and Extract Load and Transform {ELT}) in the Azure cloud platforms. You will work with structured and unstructured data, data lakes, data warehouses to service operational and analytical business needs.
Job description
The successful candidates will:
1. Work collaboratively with Enterprise Data Colleagues to develop pipelines and data products that align with data architecture and engineering best practices.
2. Develop data assets and products that assist Power Business Intelligence (BI) colleagues to deliver reporting products to the business.
3. Provide data engineering support to other data engineering teams within the FCDO as part of our collaborative and technical consultancy service.
4. 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.
5. Deliver data products to a range of business domain stakeholders and to teams across the department.
6. 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.
7. 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.
8. 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.
9. Meet the demand for data products from our customers and deliver performance data products in line with good data engineering and architecture principles.
10. Deliver well-designed data products that help the FCDO realize the goals defined in our Data Strategy, to value through correct, trusted and valuable data, information and knowledge to our customers.
Person specification
In your application, provide evidence and proven examples for each of the following Minimum Criteria, Behaviours, and the Technical question as far as you are able to do so. These responses will be further discussed during the interview process.
You must be a British Citizen at the time of application and, if invited to interview, bring proof of identity (British Passport/Driving Licence etc.).
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 due to your parents’ or partner’s Government employment counts as UK residency for security clearances.
Minimum Criteria
Demonstrable track record of delivering the following Technical skills from the Senior Data Engineer/Government Digital Data Professional role:
* Communicating effectively with technical and non-technical stakeholders, supporting discussions within a multidisciplinary team, and managing differing stakeholder perspectives.
* Designing, building, and testing complex or large-scale data products, and building teams for data integration services.
* Understanding the impact of emerging data tools, analysis techniques, and data usage trends on organizations.
* Selecting and implementing technologies for resilient, scalable, and future-proofed data solutions.
* Producing relevant data models across multiple subject areas, explaining their purposes, and understanding industry-recognized data modeling patterns and standards.
* Knowledge of Microsoft data engineering tools, specifically Azure Data Factory, and understanding of relational data models and cloud data warehouses.
Behaviours
Assessment during the selection process will focus on:
* Working Together
* Communicating and Influencing
* Changing and Improving
Technical skills
Assessment will focus on:
* 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
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