At a Glance
- Tasks: Lead innovative advanced analytics solutions and mentor junior engineers.
- Company: Join IBM CIC, a leader in tech innovation and consulting.
- Benefits: Flexible work, 25 days holiday, training opportunities, and competitive pension plan.
- Why this job: Make a real impact on clients' analytics initiatives while growing your career.
- Qualifications: Experience in data engineering, programming, and strong leadership skills.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
In this role, you\’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
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.
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
Requirements
Preferred education: Bachelor\’s Degree
- 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
Preferred 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.
About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law.
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Data Engineer - Defence employer: (1387) IBM Service Centre UK Limited
Contact Detail:
(1387) IBM Service Centre UK Limited 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 employees at IBM CIC on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of advanced analytics. Be ready to discuss your past projects and how they relate to the role of a Data Engineer.
✨Tip Number 3
Show your curiosity! During interviews, ask insightful questions about the team’s current projects and future goals. This not only shows your interest but also helps you gauge if it’s the right fit for you.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest opportunities there!
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 showcase your passion for data engineering and how your skills align with IBM's mission. Mention specific projects or experiences that demonstrate your leadership potential and innovative thinking.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Include any experience with tools like SPSS, Hadoop, or machine learning frameworks. This is your opportunity to impress us with your knowledge and expertise in advanced analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, and you’ll be one step closer to joining our amazing team!
How to prepare for a job interview at (1387) IBM Service Centre UK Limited
✨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.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to discuss your leadership experiences. Think of examples where you've guided a team or contributed to their professional development, and how you foster a culture of continuous improvement.
✨Stay Curious and Innovative
IBM values curiosity and innovation, so come ready to share your ideas! Think about recent trends in advanced analytics and how they could apply to the role. Be prepared to discuss how you’ve challenged the norm in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills with real-world scenarios. Practice articulating your thought process when tackling complex business problems using advanced analytics solutions. This will demonstrate your analytical mindset and ability to drive innovation.