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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 expertise for public and private sectors in the UK.
- Benefits: Enjoy flexible working, 25 days holiday, training opportunities, and a supportive culture.
- Why this job: Make a significant impact on clients' analytics initiatives while growing your career in a dynamic environment.
- Qualifications: Experience in data engineering, programming (Python, R, SQL), and strong leadership skills required.
- Other info: Must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
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Introduction
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
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, 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.
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
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
IT Services and IT Consulting
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Data Engineer-Advanced Analytics employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer-Advanced Analytics
✨Tip Number 1
Familiarise yourself with IBM's culture and values. Understanding their emphasis on innovation, continuous improvement, and diversity will help you align your conversations and demonstrate that you're a good fit for the team.
✨Tip Number 2
Network with current or former IBM employees, especially those in data engineering roles. They can provide valuable insights into the interview process and what skills are most valued within the company.
✨Tip Number 3
Stay updated on the latest trends in advanced analytics and big data technologies. Being able to discuss recent developments or tools like TensorFlow or Spark during your interactions can set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your leadership skills. Since the role involves mentoring junior engineers, think of examples from your past experiences where you've successfully led a team or project, and be ready to share these during discussions.
We think you need these skills to ace Data Engineer-Advanced Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering principles and advanced analytics techniques. Include specific examples of projects where you've used programming languages like Python, R, or SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at IBM and how your skills align with their needs. Mention your leadership experience and your ability to mentor junior engineers, as this is a key aspect of the position.
Showcase Relevant Projects: If you have worked on any relevant projects involving statistical analysis, data mining, or predictive analytics tools, be sure to include these in your application. Highlight your contributions and the impact of your work.
Highlight Continuous Learning: IBM values curiosity and a quest for knowledge. Mention any recent training, certifications, or courses you've completed that relate to advanced analytics or data engineering, such as AWS Certified Big Data or machine learning frameworks.
How to prepare for a job interview at IBM
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python, R, and SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in data manipulation and analysis.
✨Demonstrate Leadership Experience
Since the role involves mentoring junior engineers, share examples of your leadership experience. Talk about how you've guided teams or individuals in past roles, focusing on your ability to foster growth and innovation.
✨Stay Updated on Industry Trends
Research the latest trends in advanced analytics and big data technologies before your interview. Being able to discuss emerging tools and techniques will show your passion for the field and your commitment to continuous learning.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of complex business problems you've solved using advanced analytics and be ready to explain your thought process and the impact of your solutions.