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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 analytics.
- Benefits: Enjoy flexible working, training opportunities, and 25 days holiday.
- Why this job: Make a real impact in advanced analytics while growing your leadership skills.
- Qualifications: Bachelor’s degree and experience in data engineering and analytics required.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
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.
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.
Qualifications
- 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.
Benefits
At IBM CIC, 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.
- 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.
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 identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law.
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.
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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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects and expertise in advanced analytics. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine!
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled complex problems in the past. Confidence is key!
✨Apply Through Us
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives us a chance to see your application in the best light possible.
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 your proficiency in programming languages like Python, R, and SQL, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Data Engineer role. Mention specific projects or experiences that align with our focus on advanced analytics solutions and mentoring junior engineers.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
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 this exciting opportunity in our Data Engineering team!
How to prepare for a job interview at IBM
✨Know Your Advanced Analytics Inside Out
Make sure you brush up on your advanced analytics knowledge, especially around statistical analysis and predictive tools like SPSS. Be ready to discuss how you've applied these techniques in real-world scenarios, as this will show your practical understanding of the role.
✨Showcase Your Leadership Skills
Since this position involves mentoring junior engineers, prepare examples of how you've successfully led teams or projects in the past. Highlight your communication skills and how you've fostered a culture of continuous improvement in previous roles.
✨Familiarise Yourself with Relevant Technologies
Get comfortable discussing big data technologies like Hadoop and Spark, as well as machine learning frameworks such as TensorFlow and PyTorch. Being able to talk about your experience with these tools will demonstrate your technical proficiency and readiness for the job.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask during the interview that reflect your interest in the company’s culture and innovation strategies. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
