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- Tasks: Lead innovative advanced analytics solutions and mentor junior engineers in a dynamic environment.
- Company: Join IBM CIC, a leader in tech innovation and analytics.
- Benefits: Enjoy training opportunities, flexible working, and 25 days holiday plus traditional benefits.
- Why this job: Make a real impact on clients' analytics initiatives while growing your career.
- Qualifications: Experience in data engineering, programming, and machine learning frameworks required.
- Other info: Diversity and inclusion are key to our culture; we welcome all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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.
Qualifications
- 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.
- Experience with data science and advanced analytics across various domains.
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. 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.
About IBM CIC and Culture
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, whom 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.
Benefits
- 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
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programs for peer-to-peer appreciation
- Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and a maternity returners scheme
- Traditional benefits such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, and a group personal pension plan of an additional 5% of your base salary paid by us monthly
Your role and responsibilities
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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! Get out there and connect with folks in the data engineering field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving advanced analytics and data engineering. This is your chance to demonstrate what you can do beyond just a CV. Make sure to highlight any innovative solutions you've developed!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership abilities. Be ready to discuss how you’ve mentored others and driven innovation in past roles. We want to see your passion for data engineering shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s get started on this exciting journey together!
We think you need these skills to ace Data Engineer - Defence
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data engineering principles and advanced analytics techniques. We want to see how your skills in Python, R, SQL, and tools like Pandas and NumPy can contribute to our innovative projects.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. Mention your leadership experience and how you’ve mentored junior engineers in the past.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at IBM
✨Know Your Advanced Analytics Inside Out
Make sure you brush up on the latest trends and technologies in advanced analytics. Be ready to discuss how you've applied statistical analysis, data mining, and predictive analytics tools like SPSS in your previous roles. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior 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 fostered a culture of continuous improvement or driven innovation within your team.
✨Demonstrate Technical Proficiency
Familiarise yourself with the programming languages and tools mentioned in the job description, such as Python, R, SQL, Pandas, and NumPy. You might be asked to solve a technical problem during the interview, so practice coding challenges or data manipulation tasks to showcase your skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about complex business problems you've tackled in the past and how you approached them using data engineering principles. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.