At a Glance
- Tasks: Build innovative data solutions for complex Defence challenges and enhance your technical skills.
- Company: Join a leading consultancy focused on Defence and national security.
- Benefits: Enjoy 25 days' leave, private health insurance, and a competitive salary with bonuses.
- Other info: Permanent role based in Newcastle with opportunities for travel and career growth.
- Why this job: Make a real impact while developing your expertise in modern data engineering technologies.
- Qualifications: Hands-on experience with SQL, Python, and building production data pipelines.
The predicted salary is between 45000 - 55000 £ per year.
Build data solutions for complex Defence challenges while broadening your technical experience across varied consultancy projects.
Develop your skills across modern data engineering technologies and production environments.
What you will need
Hands-on data engineering experience.
Strong SQL and Python programming skills.
Experience building production data pipelines.
Understanding of cloud platforms and distributed computing.
Excellent remuneration and rewards
Excellent remuneration package plus a discretionary bonus.
What you will be working on
Designing and developing data-intensive applications and production pipelines.
Building data solutions from initial ingestion through to end-user consumption.
Working with complex, sensitive and challenging datasets.
Developing practical solutions to make difficult-to-access data usable in operational environments.
Testing and improving data products to ensure reliability and quality.
Contributing to varied Defence consultancy projects with different technical challenges.
Your experience
Strong experience working with SQL and large datasets.
Python programming and sound software engineering practices.
Exposure to Spark, Databricks, AWS, Azure or Google Cloud Platform.
Experience with data orchestration tools such as Airflow.
Understanding of data modelling, data quality and feature engineering.
Ability to communicate technical concepts and collaborate with analysts, scientists and engineers.
Benefits and development The employer supports your development and wellbeing through:
25 days' annual leave plus bank holidays.
Pension contributions matched up to 6%.
Private health insurance through Bupa.
Discretionary bonus.
Location and working pattern
Based in Newcastle upon Tyne, this is a site-based permanent position.
Regular travel to client sites across the UK is also required.
Some assignments may involve two to three days per week at client sites or shorter periods of full-time onsite working.
Travel expenses and hotel arrangements are provided.
This role offers the opportunity to develop your technical capability across a broad range of data engineering challenges while contributing to work supporting UK Defence and national security.
Security
Clearance: The role requires British Citizenship (including dual UK nationals with British citizenship).
Successful candidates will be required to undergo HMG Baseline Personnel Security Standard (BPSS) checks after offer, managed by the employer's Personnel Security Team.
This is a permanent role.
Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to high-technology industries.
Thank you for your interest.
If you do not hear from us within seven working days, please presume your application has been unsuccessful on this occasion.
You may resubmit your CV or details in the future, and we shall assess your suitability then.
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Data Engineering Consultant in Sunderland employer: Electus Recruitment
As a Material Process Engineer at our Whitstable location, you will thrive in a high-technology manufacturing environment that prioritises precision and technical leadership. We offer a supportive work culture with practical benefits such as a flexitime system, enhanced maternity pay, and a comprehensive Health and Wellbeing suite, ensuring a balanced and rewarding career path. Join us to take advantage of continuous growth opportunities while contributing to mission-critical aerospace components.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Consultant in Sunderland
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Electus Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Consultant at Electus Recruitment.
✨Leverage Professional Networks
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 Electus Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Consultant at Electus Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineering Consultant in Sunderland
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 Electus Recruitment, 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 Electus Recruitment. 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 Electus Recruitment
✨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 Electus Recruitment!
✨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.
