103 Best e bike delivery Jobs in London (September 2025)

Justice Digital

Lead Data Engineer

13 hours ago

London

Lead Data Engineer Location: National* Closing Date: 09/09 Interviews: from 18/09 Grade: G6 (MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer) Salary: National: £71,381 - £80,419 (which may include an allowance of up to £17,519) London: £75,674 - £85,257 (which may include an allowance of up to £17,651) Working pattern: full-time, part-time, flexible working Contract Type: Permanent *We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found ON THIS MAP The Role We are seeking a dynamic and experienced Lead Data Engineer to join our collaborative Business Intelligence team within the Technology Service Delivery department at Justice Digital. As a senior technical leader, you will drive the design, development, and implementation of advanced data engineering solutions that empower data-driven decision-making across the Ministry of Justice. This role aligns with the Head of Data Engineering from the Government Digital and Data Framework You will lead a multidisciplinary team of data engineers and analysts, working closely with senior stakeholders, programme leaders, and delivery partners to align data engineering strategy with wider business and technology objectives. You will serve as a technical authority on data engineering, ensuring the delivery of high-quality, secure, scalable, and sustainable data services. To help picture your life at MoJ Justice Digital please take a look at our blog and our Digital and Technology strategy 2025 Key Responsibilities: Strategic Leadership & Technical Ownership Define and lead the technical roadmap for data engineering within Justice Digital. Provide architectural direction for data products including data warehousing, pipelines, metadata management, and analytics solutions. Champion the use of modern data engineering tools and techniques (e.g. Microsoft Fabric, Azure Data Factory, Synapse, Power BI). Ensure solutions are future-proofed, compliant, and deliver measurable business value. Team Management & Development Line-manage a team of Senior and Mid-level Data Engineers, fostering a culture of learning, inclusion, and high performance. Support recruitment, onboarding, coaching, and professional development within the data engineering function. Lead on workload planning, performance management, and skills capability building. Stakeholder Engagement & Communication Act as a primary liaison between the Business Intelligence team and senior stakeholders across MoJ, presenting technical and non-technical content with clarity and impact. Collaborate with Delivery Managers, Product Owners, Architects, and other disciplines to align data engineering with product and business goals. Represent the data engineering function at governance boards, show-and-tells, and wider departmental forums. Delivery & Operations Oversee the end-to-end delivery of large-scale data engineering projects, ensuring alignment with agile practices and strategic goals. Establish best practices for ETL/ELT development, version control, CI/CD, and cloud-native data architecture. Maintain oversight of BAU data operations, ensuring service continuity, proactive incident management, and operational resilience. Lead data quality assurance and data governance processes in line with departmental and national data standards. If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team please read on and apply! Benefits 37 hours per week and flexible working options including working from home, working part-time, job sharing, or working compressed hours. A £1k per person learning budget is in place to support all our people, with access to best in class conferences and seminars, accreditation with professional bodies, fully funded vocational programmes and e-learning platforms Staff have 10% time to dedicate to develop & grow Generous civil service pension based on defined benefit scheme, with employer contributions of 28.97% from April 1st 2024 (Contribution Rates) 25 days leave (plus bank holidays) and 1 privilege day usually taken around the King's birthday. 5 additional days of leave once you have reached 5 years of service. Compassionate maternity, adoption, and shared parental leave policies, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave. And maternity support/paternity leave at full pay for 2 weeks, too! Wellbeing support including access to the Calm app. Nurturing professional and interpersonal networks including those for Carers & Childcare, Gender Equality, PROUD and SPIRIT Bike loans up to £2500 and secure bike parking (subject to availability and location) Season ticket loans, childcare vouchers and eye-care vouchers. 5 days volunteering paid leave. Some offices may have a subsidised onsite Gym. Person Specification Essential Demonstrable experience leading high-performing technical teams in a data engineering context. Microsoft certifications or Strong hands-on experience with the Microsoft BI Stack, especially Azure SQL, Fabric, Power BI, and Azure Data Factory. Deep understanding of data modelling, data warehousing, dimensional modelling, and data governance. Proven expertise in designing, building, and managing ETL/ELT data pipelines, including real-time streaming and batch processing. Strong stakeholder management skills, including influencing, negotiating, and presenting at senior levels. Understanding of agile delivery methodologies and cross-functional team working. Experience aligning engineering outcomes with long-term digital and data transformation goals at a Strategic level. Expertise in leading diverse teams with empathy and authenticity, fostering a sense of purpose and belonging. Experience driving the adoption of best practices, tooling, and processes across the wider digital and data community. Experience translating complex business needs into robust, secure, and efficient data solutions. Willingness to be assessed against the requirements for SC clearance We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor. Our values are Purpose, Humanity Openness and Together. Find out more here about how we celebrate diversity and an inclusive culture in our workplace. The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy. How to Apply Candidates must submit CV and Statement of Suitability (of up to 750 words), which describes how you meet the requirements below: Deep understanding of data modelling, data warehousing, dimensional modelling, and data governance. Strong stakeholder management skills, including influencing, negotiating, and presenting at senior levels. Experience driving the adoption of best practices, tooling, and processes across the wider digital and data community. Microsoft certifications or Strong hands-on experience with the Microsoft BI Stack, especially Azure SQL, Fabric, Power BI, and Azure Data Factory. You will also be required to develop and deliver a presentation on a topic which will be provided if you are successfully sifted through to the interview. Application Guidance Please access the following link for guidance on how to apply and how to complete a Personal Statement Application Guidance In Justice Digital, we recruit using a combination of the Government Digital and Data Profession Capability and Success Profiles Frameworks. We will assess your Experience, Technical Skills and the following Behaviours during the assessment process: Leadership Working together Communicating and Influencing A diverse panel will review your application against the Person Specification above. Successful candidates who meet the required standard will then be invited to a 1-hour panel interview held via video conference. If we receive a high volume of applications, we will conduct a pre-sift based on the following criteria before the sift. Microsoft certifications or Strong hands-on experience with the Microsoft BI Stack, especially Azure SQL, Fabric, Power BI, and Azure Data Factory. Should you be unsuccessful in the role that you have applied for but demonstrate the capability for a role at a lower level, we reserve the right to discuss this opportunity with you and offer you the position without needing a further application. A reserve list may be held for up to 12 months, from which further appointments may be made. Use of Artificial Intelligence Artificial Intelligence can be a useful tool to support your application; however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own), applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Terms & Conditions Please review our Terms and Conditions, which set out how we recruit and provide further information related to the role and salary arrangements. If you have any questions, please feel free to contact #J-18808-Ljbffr

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