At a Glance
- Tasks: Join the STG Performance Team to enhance data pipelines and develop user-friendly dashboards.
- Company: Work with The Ministry of Justice, making a real impact on public service through data.
- Benefits: Enjoy a hybrid work model, flexible hours, and the chance to innovate with cutting-edge tools.
- Other info: SC Clearance is essential; this role is UK-based only.
- Why this job: Be part of a mission-driven team that values data quality and drives informed decision-making.
- Qualifications: Strong experience in data engineering, proficiency in Python and SQL, and familiarity with cloud tools required.
The predicted salary is between 48000 - 72000 Β£ per year.
On behalf of The Ministry of Justice, we are looking for a Senior Data Engineer (Inside IR35) for a 6 month contract based primarily remote (occasional travel to MoJ offices and team meetings, typically in London).
The Synergy Programme is a large-scale transformation programme consisting of four Government departments, MOJ (Ministry of Justice), DWP (Department for Work and Pensions), DEFRA (Department for Environment, Food and Rural Affairs) and HO (Home Office). They will come together to replace their current Back Office systems and introduce new ways of working for 220,000 civil servants combined. High-quality, accurate data is fundamental to ensuring a successful transition and enabling effective business processes, reporting and operations within the new ERP platform.
The Data Engineer will play a critical role in supporting the MoJ contribution to the Synergy Programme by providing the technical capability required to extract, transform, manage and prepare source data for analysis. This role directly supports key programme priorities, including data quality improvement and data migration readiness.
As a Senior Data Engineer, your main responsibilities will include:
. Designing, building and maintaining robust, scalable and automated data pipelines that extract source data from SplashBI and load it into the programme's AWS data platform.
. Working closely with Data Analysts to understand user needs and data requirements, translating them into technical requirements and solutions.
. Identifying opportunities to improve, automate, reuse and re-engineer data engineering processes to increase efficiency, enable scaling and reduce manual effort.
. Maintaining secure and sustainable AWS cloud infrastructure using infrastructure-as-code principles and best practice development approaches, deploying solutions using a range of AWS services in a reproducible and sustainable manner.
. Developing and optimising code, tools and services that enable analysts to access and use data effectively and efficiently.
. Proactively monitor, maintain and optimise data pipelines to ensure source data is available to analysts in line with programme timelines and migration readiness milestones.
. Operate effectively in a fast-paced programme environment, managing competing priorities and delivering technical solutions to demanding timescales.
Essential:
. Experience working in a technical team, preferably one that uses Python and SQL, as well as strong technical skills in these languages.
. Developing, maintaining and optimising robust and scalable automated data pipelines using Python, SQL and AWS cloud services.
. Working with a range of data sources and source systems and integrating data for analysis and migration purposes including data wrangling and analysis activities.
. Understanding of the software development life cycle and applying software development best practices, including version control (eg git), automated testing (eg pytest) and CI/CD (eg GitHub Actions).
. Experience using infrastructure-as-code approaches to deploy and manage AWS cloud infrastructure.
. Supporting data quality, migration or Business Intelligence activities through effective data engineering practices.
. Working with technical and non-technical stakeholders to understand requirements and deliver effective data solutions.
. Experience working in a fast-paced delivery environment, managing multiple priorities and delivering high-quality outputs to challenging deadlines.
. Proven ability to proactively manage and maintain data pipelines, ensuring timely and reliable access to data for analytical and operational needs.
. Ability to identify, investigate and resolve data pipeline issues with minimal disruption to programme delivery.
PLEASE NOTE: SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.
Desirable:
. Oracle E-business Suite (EBS) experience across HR, Finance and Procurement.
. SplashBI experience.
. ERP transformation experience.
. Data migration experience.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident
As a member of the Disability Confident Scheme, MOJ guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.
Armed Forces Covenant
The Ministry of Justice guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.
In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
Senior Data Engineer employer: Alexander Mann Solutions - Public Sector Resourcing
Joining UK Parliament as a Microsoft M365 and Copilot Specialist offers a unique opportunity to contribute to the public sector while enjoying a hybrid work model in the vibrant city of London. With a strong emphasis on employee growth, you will have access to continuous learning and development opportunities, alongside a collaborative work culture that values innovation and stakeholder engagement. The role not only allows you to leverage your technical expertise but also to make a meaningful impact on how technology enhances productivity and collaboration within the organisation.
Contact Details:
Alexander Mann Solutions - Public Sector Resourcing Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Data Engineer
β¨Tip Number 1
Make sure you have a solid understanding of the tools and technologies mentioned in the job description, especially AWS services like Glue and S3. Familiarity with these platforms will not only help you during the interview but also demonstrate your readiness to hit the ground running.
β¨Tip Number 2
Since this role requires SC Clearance, if you already hold it, be sure to mention this upfront. If not, express your willingness and eligibility to undergo the necessary checks, as this could set you apart from other candidates.
β¨Tip Number 3
Engage with the Ministry of Justice's recent projects or initiatives related to data engineering. Showing that you are informed about their current work can help you connect better with the interviewers and demonstrate your genuine interest in the role.
β¨Tip Number 4
Prepare to discuss your experience with data pipelines and automation. Be ready to share specific examples of how you've improved data processes in previous roles, as this aligns closely with the responsibilities outlined in the job description.
We think you need these skills to ace Senior Data Engineer
Some tips for your application π«‘
Understand the Role:Read the job description thoroughly to grasp the key responsibilities and required skills. Highlight your relevant experience in data engineering, particularly with cloud-based tools and Python.
Tailor Your CV:Customise your CV to reflect the specific skills and experiences mentioned in the job description. Emphasise your proficiency in SQL, dbt, and AWS services, as well as any experience with data pipelines and orchestration tools.
Craft a Compelling Cover Letter:Write a cover letter that connects your background to the role. Discuss your experience with data quality improvement and your ability to work collaboratively with both technical and non-technical stakeholders.
Highlight Security Clearance:Since SC Clearance is essential for this position, make sure to mention your current clearance status or your willingness to undergo checks prominently in your application.
How to prepare for a job interview at Alexander Mann Solutions - Public Sector Resourcing
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines, Python, SQL, and cloud-based tools. Highlight specific projects where you've successfully designed and maintained data systems, as this will demonstrate your technical proficiency.
β¨Understand the Role's Context
Familiarise yourself with the Ministry of Justice's objectives and how the Senior Data Engineer role fits into their performance team. This knowledge will help you articulate how your skills can contribute to their goals, especially in improving data quality and decision-making.
β¨Prepare for Stakeholder Engagement
Since the role involves working closely with both technical and non-technical stakeholders, think of examples where you've effectively communicated complex data concepts. Be ready to discuss how you gather feedback and iterate on solutions based on user needs.
β¨Demonstrate Adaptability and Curiosity
The job description emphasises a willingness to experiment with new tools and techniques. Share instances where you've adapted to new technologies or methodologies, particularly in data engineering, to show that you're open to learning and innovation.