At a Glance
- Tasks: Build and maintain data flows, collaborating with teams to solve complex data challenges.
- Company: Join BAE Systems Digital Intelligence, a leader in cyber and data solutions.
- Benefits: Enjoy flexible working, 25 days holiday, and a comprehensive benefits package.
- Why this job: Make a real impact in national security while developing your skills in a supportive environment.
- Qualifications: Experience in SQL, Python, and data management is essential.
- Other info: Be part of a diverse team that values innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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.
A Data Engineer's role is to work closely with clients to understand their requirements to process, store and serve data. An Engineer will commonly work alongside data architects, scientists and analysts to build and support data flows. They will apply concepts from software engineering and DevOps and use data tools from a large and varied data landscape to present and host datasets for downstream consumption. The scope and responsibilities of a data engineer are wide ranging and largely driven by the data maturity of the client's business. A clear understanding of a client's needs is essential to ensuring data engineering outputs are successful, as is the ability to work with other data roles and interact across multiple organisational units. Data Engineers must understand the requirements of data consumers and the broader impact of data across the client's business such that they view their responsibilities through both technical and business perspectives.
In this role, you will:
- Build, improve and maintain data flows to extract, transform and load data
- Follow software engineering and DataOps best practices to rapidly develop and deploy high quality components
- Communicate with technical and non-technical people to build trust and rapport across the business
- Work with stakeholders to understand business problems sufficiently to have a clear picture of requirements
- Collaborate effectively within and across teams
- Show ability to quickly learn and adapt to evolving data engineering toolsets and techniques
- Demonstrate core technical skills around SQL, Python or similar programming languages
- Demonstrate fundamental skills in data management, orchestration, security and data modelling
- Set up cloud services to host data infrastructure and store data
Senior Data Engineers are also expected to:
- Lead data teams from a technical perspective and set up delivery frameworks to ensure effective delivery
- Engage with business stakeholders to define work packages and build teams
- Lead design sessions and selection of strategic data products for data engineering platforms
- Build out skills and experience in other data practices around data modelling, architecture, strategy, science and analysis
- Demonstrate increasing breadth and depth across a range of data engineering products
How we will support you:
- Work-life balance is important; you can work around core hours with flexible and part-time working
- You’ll 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
- You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE
- You’ll be part of our company bonus scheme
- You are welcome to join any/all of our Diversity and Support groups
Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.
About our team:
Our people are what differentiates us; they are resourceful, innovative and dedicated. 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. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients.
You’ll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We’ll do everything we can to ensure you have fun at work, and in social activities outside of it whether that’s virtually or in person, as conditions allow.
You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team.
We have a rich history of working within National Security. In fact, we have over 40 years’ experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions.
More about BAE Systems:
You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You’ll get to work on a variety of different systems for different customers throughout your career with us. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this.
For more information please visit our website: BAE Systems Digital Intelligence.
Help us secure a connected world. Apply now and be inspired.
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 we’re 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.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.
Senior Data Engineer employer: BAE Systems.
Contact Detail:
BAE Systems. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at BAE Systems through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Senior Data Engineer.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common technical questions.
✨Tip Number 3
Showcase your collaborative spirit! During interviews, highlight examples of how you've worked effectively in teams. BAE Systems values teamwork, so make sure to demonstrate your ability to communicate with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest roles and updates there, so keep checking back!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data flows, SQL, Python, and any relevant projects that showcase your skills. We want to see how you can fit into our team!
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 your background aligns with our mission at BAE Systems. Let us know what excites you about working with us.
Showcase Collaboration Skills: Since we value teamwork, make sure to mention any experiences where you've successfully collaborated with technical and non-technical teams. We love seeing how you build trust and rapport across different groups!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.
How to prepare for a job interview at BAE Systems.
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any other relevant data tools before the interview. Be ready to discuss how you've used these in past projects, as well as your approach to data management and orchestration.
✨Understand the Business Needs
BAE Systems is looking for someone who can bridge the gap between technical and non-technical stakeholders. Prepare examples of how you've successfully communicated complex data concepts to non-technical audiences and how you’ve aligned data engineering outputs with business objectives.
✨Show Your Collaborative Spirit
Collaboration is key in this role. Think of specific instances where you've worked effectively within a team or across departments. Highlight your ability to lead design sessions and engage with stakeholders to define work packages.
✨Be Ready to Adapt
The data landscape is always evolving, so demonstrate your willingness to learn new tools and techniques. Share experiences where you've quickly adapted to new technologies or methodologies, showcasing your growth mindset.