About the job
Data Engineers develop data products of varying complexity and provenance that support data-driven operational activities across the NCA.
NDEC are, and will be, at the heart of this response and you will be joining a team of dedicated and diverse professionals who are all committed to making NDEC and the NCA a success.
What are we looking for?
• Knowledge of efficient and effective ways of using data engineering to tackle business and organisational challenges.
• Skills in applying data engineering techniques to present challenges and an ability to communicate through data visualisation techniques and other methods.
• Strong stakeholder management and consultative skills.
• Experience managing, coaching and mentoring technical team members and/or a professional interest in developing management skills.
• An understanding of ethical considerations of potential data engineering approaches, and the legislation applicable in this area.
ResponsibilitiesWhat will I be doing?
• Data Management: Gather data from a variety of sources and manage large datasets in accordance with best practice.
• Technical Requirements Gathering: Identify and manage data requirements to create a usable data product for departmental and wider NCA teams.
• Data Handling: Design and optimise the implementation of data flows to connect operational systems, data services and transformation for analytics and Business Intelligence systems.
• Data Manipulation: Manipulate large datasets to solve analytical challenges and provide support to intelligence-led enforcement activity.
• Solution Management: Develop scientifically robust and innovative solutions to technical challenges.
• Team Management: Line manage, support and mentor technical members of staff.
• Strategic Thinking: Contribute to the strategic view of data engineering strategies, products and components to inform departmental decision-making.
• Quality Assurance: Ensure the quality, secure handling and dissemination of data and analytical products, whilst ensuring confidentiality and sensitivity in line with NCA policy and enterprise governance standards.
• Coaching: Provide guidance and support to the technical team members, helping them scope solutions and pursue new ways of working with data and tools.
• Communication: Build working relationships with colleagues across the NCA’s technical community to develop skills and cross-functional working.
***All NCA officers must hold SC Enhanced upon entry as a minimum. To meet the National Security Vetting requirements for this role you will need to have resided in the UK for a minimum of 3 out of the past 5 years. For more information please see the Candidate information Pack***
2:1 in a STEM degree.
Please ensure the dates of any accreditations you are relying on, are entered on to the CV.
Should you progress to the assessment stage of the process, you will be required to provide a copy of the original certificate.
Failure to provide evidence at interview may result in your application not progressing to the next stage.
We'll assess you against these behaviours during the selection process:
- Changing and Improving
We'll assess you against these technical skills during the selection process:
- Experience of cleansing, preparing and formatting complex data sets.
- Experience of designing scalable, future-proof data services to meet user needs.
- Experience of data modelling to support analytical functions within the business.
- Experience of maintaining a gold standard ETL pipeline.
All officers in the NCA are members of the UK Civil Service. You will be eligible for:
• Civil Service pension scheme
• 26 days annual leave rising to 31 on completion of 5 years continuous service
• Training and development opportunities
• Cycle2work scheme
We take the welfare of NCA officers very seriously. All staff have access to Occupational Health services and there are a number of staff representative groups. We also have a range of sporting and other activities on offer.
We can provide flexible working arrangements if the role in question is suitable. These include flexi-time, job sharing and compressed hours (working contracted hours over a shorter period).