At a Glance
- Tasks: Design and develop data pipelines to drive impactful solutions for Central Government.
- Company: Leading change consultancy focused on transforming strategies into reality.
- Benefits: Competitive pay, professional growth, and a chance to work with cutting-edge data technologies.
- Other info: Onsite work in London 2-3 days a week; SC clearance required.
- Why this job: Make a real difference by harnessing data to solve complex challenges.
- Qualifications: Experience in data engineering and proficiency in Python, SQL, and cloud platforms.
The predicted salary is between 40000 - 50000 £ per year.
Location: Westminster, London
Employment Type: New Hire (External UK)
Industry: Public Sector & Government
Job Family: Consulting
Career Level: Contract
As a Data Engineer, you will play a crucial role in harnessing the power of data to drive positive change. Your expertise in data management and analysis will enable the organisation to make informed decisions and deliver impactful solutions to address complex challenges.
YOU WILL:
- Design and develop scalable data pipelines to extract, transform, and load data from various sources
- Implement efficient data storage and retrieval mechanisms to ensure data integrity and accessibility
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Optimise data processing workflows to enhance performance and reliability
- Develop and maintain data models, data warehouses, and data lakes to support reporting and analytics
- Implement robust data security and governance measures to protect sensitive information
- Stay up-to-date with the latest data engineering technologies and best practices to continuously improve the organisation's data capabilities
IDEALLY, WE'D LIKE:
- A degree in Computer Science, Information Technology, or a related field
- Significant experience in data engineering, with a strong understanding of data architecture, ETL processes, and data modelling
- Proficiency in programming languages such as Python, SQL, and Spark
- Familiarity with cloud-based data platforms, such as AWS or Azure
- Knowledge of data warehousing concepts and experience with tools like Snowflake, Redshift, or BigQuery
- Excellent problem-solving skills and the ability to work collaboratively in a team environment
- Strong communication skills to effectively translate technical concepts to non-technical stakeholders
- A passion for data-driven decision-making and a commitment to delivering high-quality solutions.
Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
This is a temporary employee (PAYE) opportunity working via an Umbrella company.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law.
Data Engineer (SC Clearance Required) employer: North Highland
At North Highland, we pride ourselves on being a leading change and transformation consultancy that values innovation and collaboration. Our Westminster location offers a dynamic work environment where Data Engineers can thrive, with opportunities for professional growth and development while contributing to impactful projects for Central Government clients. We foster a culture of inclusivity and support, ensuring that every team member has the resources and encouragement needed to excel in their role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SC Clearance Required)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Prepare for those interviews! Research common data engineering questions and practice your answers. We recommend doing mock interviews with friends or using online resources to boost your confidence and showcase your skills effectively.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repository or a personal website, having a portfolio of your work can really set you apart. We love seeing practical examples of your data pipelines and models, so make sure to highlight them during your discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a difference in the public sector, so don’t hesitate to put yourself out there!
We think you need these skills to ace Data Engineer (SC Clearance Required)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant programming languages like Python or SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission of turning strategy into reality. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design scalable data solutions. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at North Highland
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around ETL processes and data modelling. Be ready to discuss your experience with programming languages like Python and SQL, as well as any cloud platforms you've worked with, such as AWS or Azure.
✨Understand the Role and Company
Research the company and its mission in the public sector. Understand how your role as a Data Engineer will contribute to their goals. This will help you tailor your answers and show that you're genuinely interested in making an impact.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of data architecture. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you translate technical requirements into actionable solutions.
