At a Glance
- Tasks: Join a dynamic team to improve data processes in a government setting.
- Company: Independent digital transformation consultancy with diverse clients.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Other info: Work one day a week in London with a focus on agile methodologies.
- Why this job: Make a real difference by solving complex data challenges in a collaborative environment.
- Qualifications: Experience in data engineering, strong communication skills, and SC clearance required.
The predicted salary is between 50000 - 60000 £ per year.
hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. All potential candidates should read through the following details of this job with care before making an application.
We're an independent digital transformation consultancy with clients across public and private sectors. We help our clients solve complex technical problems and provide human-centred solutions that lead to positive outcomes. We do this with multidisciplinary teams of strategists, architects, developers, designers and analysts working closely alongside client stakeholders and end users.
The Role
We're looking for a hands-on Data Engineer to work on a programme of improvement and remediation to close data gaps within a government department. You'll be a strong communicator, with experience of delivering products and services in a Government environment. This includes engaging with stakeholders, ensuring the right structures and processes are in place to effectively capture, monitor and remediate data issues.
This is a hands-on technical role as part of the project team. You'll be confident working with data on large and complex platforms with multiple data ingestion points. You'll access and query the data and be able to implement methods to transform and transfer data. You'll be able to discuss options and approaches with the project team. You'll have a strong understanding of data quality principles (accuracy, completeness, consistency, timeliness, validity) and the ability to work in an agile environment.
Skills and Experience Required
- GDS Standards: Recent experience working within the Government Digital Service framework, ensuring data services are accessible, secure, and user-centric. Providing technical input to use cases and problem statements is essential.
- Agile Delivery: Experienced in Scrum/Kanban environments, participating in ceremonies (Dailies, Refinement, Retrospectives) and managing tasks via backlogs.
- Data Engineering Best Practices: Knowledge of ETL/ELT patterns, data versioning, and building robust, automated pipelines. You'll ensure data security and compliance requirements are met with solutions you propose and build.
- Streamlining Data Flows: Able to identify and implement process improvements for better data handling.
- Collaboration: Ability to work closely with Business Analysts, Data Analysts and business stakeholders to translate requirements into technical specifications.
Technical Experience and Tooling
- Cloud Platform: Proven experience working with AWS and data warehousing.
- Programming: Advanced proficiency in Python and R for data manipulation and automation.
- Database: Expert-level SQL for complex querying and data modelling. Use of dbt to utilise SQL in a data warehouse.
- Orchestration & Containers: Practical experience with Kubernetes and use of pipelines for deploying and scaling data services.
Working Arrangements
One day in the London office per week. Arrangements may vary based on project and team needs. Active SC clearance required.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SC Cleared)
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Solirius Reply.
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We think you need these skills to ace Data Engineer (SC Cleared)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Solirius Reply, 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 Solirius Reply. 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 Solirius Reply
✨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!
✨Showcase Your Projects
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 Solirius Reply!
✨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.
