At a Glance
- Tasks: Design and develop data solutions to support key client stakeholders.
- Company: Join BAE Systems Digital Intelligence, a leader in cyber defence.
- Benefits: Flexible working, 25 days holiday, and a comprehensive benefits package.
- Other info: Inclusive culture that values diversity and supports your career growth.
- Why this job: Make an impact in the digital world while enjoying work-life balance.
- Qualifications: Experience in Data Engineering with programming skills in Python and ETL tools.
The predicted salary is between 58500 - 71500 £ per year.
hackajob is partnering directly with BAE Systems Digital Intelligence to hire for this role. BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
Location: London or Manchester Hybrid working offered, with consideration for both full and part-time applicants please speak to your recruiter about options.
We are looking for experienced Data Engineers to join our team following continuous growth and success. As a Data Engineer you will be involved in:
- Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces.
- Model data requirements, data sources and data flows to bring order and structure to programmes of work.
- Defining how and where data is created, mastered and destroyed to ensure proper control over the lifecycle of corporate data assets.
- Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata.
- Define metadata to provide search ability and governance (including Records Management) for unstructured data.
- Data Engineering, Analysis or Science, with a solid understanding of programming languages along with experience of applying them in your previous role.
- Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications.
- A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products.
- An understanding of maintaining and applies up to date, specialist knowledge of database concepts (including unstructured, NoSQL and big data platforms), object and data modelling techniques.
Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential.
Security Clearance.
Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office.
Youll get 25 days holiday a year and the option to buy/sell and carry over from the year before.
Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more.
Youll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE.
Youll be part of our company bonus scheme.
These groups cover everything from gender diversity to mental health and wellbeing. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Youll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where youll be empowered to fulfil your potential.
If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Life at BAE Systems Digital Intelligence. We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when were working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Inclusion is integral to the success of BAE Systems Digital Intelligence. At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world.
Data Engineer Con Spark/Scala (Remoto) employer: Hackajob Ltd
At loveholidays, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Product Designer, you'll have the opportunity to contribute to meaningful projects that enhance customer experiences while enjoying a range of benefits, including professional development opportunities and a supportive team environment in a vibrant location. Join us in our mission to make travel accessible for everyone and be part of a company that values your creativity and input.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto)
✨Get Involved in Data Science Meetups
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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 Hackajob Ltd.
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We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto)
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 Hackajob Ltd, 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 Hackajob Ltd. 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 Hackajob Ltd
✨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 Hackajob Ltd!
✨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.
