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- Tasks: Lead the development of innovative advanced analytics solutions and mentor junior engineers.
- Company: Join IBM CIC, a leader in tech innovation and collaboration.
- Benefits: Enjoy flexible working, 25 days holiday, and professional development opportunities.
- Why this job: Make a real impact on advanced analytics initiatives for top clients.
- Qualifications: Experience in data engineering, programming (Python, R, SQL), and strong leadership skills.
- Other info: Diverse and inclusive culture with excellent career growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Data Engineer – Defence role at IBM.
Introduction
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.
We Offer
- Many training opportunities from classroom to e‑learning, mentoring and coaching programs and the chance to gain industry recognized certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programs for peer‑to‑peer appreciation as well as from manager to employees
- Tools and policies to support your work‑life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your Role And Responsibilities
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you’ll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers. Join our Data Engineering team and make a significant impact on our clients\’ advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities
- Develop and lead cutting‑edge advanced analytics solutions for complex business problems.
- Mentor junior data engineers, providing guidance and support in 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 advanced 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.
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain 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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting
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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 you insider info and might even lead to a referral, which can double your chances of landing that interview.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable with Python, SQL, and any other tools mentioned in the job description. Practising common data engineering scenarios can help you stand out during the technical assessment.
✨Tip Number 3
Show off your passion for continuous learning! Mention any recent courses or certifications you've completed, especially those related to advanced analytics or big data technologies. This shows you're committed to growing in your field, which is a big plus for employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at IBM and ready to take the next step in your career.
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 and advanced analytics techniques, and don’t forget to mention any relevant programming languages like Python or SQL.
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 skills align with IBM's mission. Be sure to mention your curiosity and eagerness to innovate.
Showcase Your Projects: If you've worked on any cool projects related to data engineering or advanced analytics, make sure to include them. This could be anything from personal projects to professional work that demonstrates your skills and creativity.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, R, SQL, and data manipulation libraries. Brush up on your knowledge of predictive analytics tools like SPSS, as well as big data technologies such as Hadoop and Spark. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share examples of how you've led teams or projects in the past. Think about specific situations where you provided guidance or support, and how that made a difference. This will demonstrate your ability to foster a culture of continuous improvement.
✨Stay Current with Trends
Research the latest trends in advanced analytics and machine learning frameworks. Be ready to discuss how these innovations can impact the industry and the company. Showing curiosity and a desire to learn will resonate well with the interviewers, as they value candidates who challenge the norm.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, ongoing projects, and the company’s approach to innovation. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.