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- Tasks: Develop advanced analytics solutions and mentor junior engineers in a dynamic environment.
- Company: Join IBM CIC, a leader in hybrid cloud and AI innovation.
- Benefits: Enjoy 25 days holiday, flexible working, and a personal pension plan.
- Why this job: Make an impact with cutting-edge technology while advancing your career.
- Qualifications: Experience in data engineering, programming, and strong leadership skills.
- Other info: Diverse and inclusive culture with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer – Defence role at IBM
IBM CIC delivers deep technical and industry expertise to clients across the UK. A career in IBM CIC means working with visionaries to advance hybrid cloud and AI for leading companies. Your impact is facilitated by our partner ecosystem and technology portfolio.
We Offer
- Training from classroom to e‑learning, mentoring, and certification programs.
- Promotion opportunities to grow your career.
- Annual feedback checkpoints.
- Diversity & Inclusion through policies, employee champion teams, and support networks.
- Innovation culture where your ideas are welcomed.
- Peer‑to‑peer appreciation and manager recognition.
- Work‑life balance tools: flexible working, sabbatical, paid paternity/maternity leave, and a maternity returner scheme.
- Benefits: 25 days holiday + public holidays, online shopping discounts, Employee Assistance Program, personal pension plan with 5% of base salary paid monthly.
Your Role And Responsibilities
- Develop and lead cutting‑edge advanced analytics solutions for complex business problems.
- Mentor junior data engineers and support their professional development.
- Perform statistical analysis, data collection, data mining, and text mining.
- Design, build, and manage solutions for advanced analytics projects.
- Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
- Stay abreast of emerging analytics trends and technologies, driving innovation within the organization.
Preferred Education Bachelor’s Degree
Required Technical And Professional Expertise
- Extensive experience with data engineering principles and advanced analytics techniques.
- Proficiency in programming languages: Python, R, SQL.
- Experience with data manipulation and analysis tools: Pandas, NumPy, Dask.
- Strong leadership and communication skills.
- Ability to lead cross‑functional teams and manage stakeholder expectations.
We welcome applications from individuals of all backgrounds. Eligibility requires a valid right to work in the UK, no visa sponsorship, continuous UK residency for 10 years, and a UK government security clearance.
Preferred Technical And Professional Experience
- Experience with machine learning frameworks: TensorFlow, PyTorch, scikit‑learn.
- Familiarity with big data technologies: Hadoop, Spark.
- Background in data science, IT consulting, or a related field.
- AWS Certified Big Data or equivalent.
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Data Engineer - Defence employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Defence
✨Tip Number 1
Network like a pro! Reach out to current or former employees at IBM through LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects. This is your chance to demonstrate your expertise in Python, SQL, and advanced analytics techniques.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. We want to highlight your leadership skills and ability to manage cross-functional teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Defence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data engineering principles, programming languages like Python and SQL, and any relevant projects you've worked on. 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 innovative culture at StudySmarter. Don't forget to mention any mentoring experience you have, as we value leadership skills.
Showcase Your Projects: If you've worked on any advanced analytics projects or have experience with tools like SPSS, make sure to showcase these in your application. We love seeing real-world examples of your work and how you've tackled complex business problems.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data engineering principles and advanced analytics techniques. Be ready to discuss your experience with programming languages like Python, R, and SQL, as well as tools like Pandas and NumPy. The more confident you are in your technical skills, the better you'll impress the interviewers.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior data engineers, be prepared to share examples of how you've led teams or supported others in their professional development. Highlight any experiences where you've managed stakeholder expectations or driven innovation within a project.
✨Stay Current with Trends
IBM values innovation, so make sure you're up-to-date with the latest analytics trends and technologies. Mention any recent developments in machine learning frameworks or big data technologies that excite you. This shows your passion for the field and your commitment to continuous learning.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company culture, training opportunities, and how they support diversity and inclusion. This not only demonstrates your interest in the role but also helps you assess if the company is the right fit for you.
