At a Glance
- Tasks: Lead the design and delivery of scalable data solutions using Azure and Python.
- Company: Join the Government Recruitment Service, making a difference for millions in the UK.
- Benefits: Competitive salary, job security, and opportunities for professional growth.
- Other info: Dynamic work environment with locations across the UK and commitment to inclusivity.
- Why this job: Make an impact by shaping data solutions that drive key decisions.
- Qualifications: Expertise in Azure data engineering and team leadership required.
The predicted salary is between 57946 - 75664 £ per year.
This role requires you to pass Security Check clearance. You must have resided continuously in the UK for at least 3 of the last 5 years, 2 of which must have been the immediately preceding years from the point of applying for this job.
Are you a Senior Data Engineer with expert-level experience in Azure data engineering, ETL/ELT pipeline design and technical team leadership? Join DWP as part of our Data Engineering community, where you will lead the design and delivery of secure, scalable data solutions that power services used by millions of people across the UK. This role plays a key part in ensuring our data estate is reliable, well-governed and continuously improving, enabling analysts, data scientists and operational teams to access trusted data at scale.
Roles and Responsibilities:
- Lead the team in designing, developing and maintaining scalable ETL/ELT pipelines using a strong knowledge of PySpark and Python to ensure best practice and standards are met in optimizing, validating and standardising all team data workflows as well as batch processes.
- Lead collection of complex data requirements from a wide range of stakeholders, interpret the data and shape data sets for Data Analysts to fulfil requirements in their creation of analysis and insight dashboards.
- Lead the build and management as well as the supply of data to multiple systems and applications including database management to secure data availability and the construction of efficient scripts to extract data for cross business usage.
- Leading immediate team through large-scale data and platform transformation and/or migration programmes, ensuring best practice and building capability within the team as the transformation occurs.
- Set direction of change and proactively identify key issues.
- Apply a deep understanding and experience of cloud data engineering toolsets in developing complex pipelines, lead development of products and automation processes.
- Lead development of logging, monitoring and assuring tool performance information.
- Oversee, support and manage team in developing and using a range of operational tracking and cataloguing tools to track data and metadata through its journey such as: Google Cloud Data Catalog, AWS Glue Data Catalog, Azure Data Catalog, Informatica Enterprise Data Catalog, Alation, Apache Atlas etc., ensuring compliance with business standards.
- Lead the use of Agile practices in the team to leverage data engineering tools like version control, automation, monitoring to streamline data pipelines, automate testing, deployment and track changes.
As part of the Digital and Data Services team you will play a key role in ensuring Skills England creates, maintains and uses data efficiently and effectively to drive decisions and produce high quality technical education products and labour market insights.
Locations for this team are: London, Coventry, Darlington, Sheffield, Leeds. Roles within other teams will be based in the locations advertised above. This can be discussed further, should you be successful.
Proud member of the Disability Confident employer scheme.
Data Engineer (G7) employer: Government Recruitment Service
The Ministry of Justice is an exceptional employer, offering a dynamic and inclusive work environment where finance professionals can thrive. With a strong commitment to employee development, flexible working options, and a robust pension scheme, the MoJ fosters a culture of collaboration and innovation, ensuring that every team member has the opportunity to influence key financial strategies that impact the nation. Located nationally, this role provides the unique advantage of engaging with diverse stakeholders across the UK, making it a rewarding place for those seeking meaningful contributions to public service.
Contact Details:
Government Recruitment Service Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (G7)
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We think you need these skills to ace Data Engineer (G7)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Government Recruitment Service, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Government Recruitment Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Government Recruitment Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Government Recruitment Service!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
