At a Glance
- Tasks: Lead innovative advanced analytics solutions and mentor junior data engineers.
- Company: Join a forward-thinking tech giant committed to diversity and innovation.
- Benefits: Enjoy flexible working, generous holiday, and comprehensive health coverage.
- Other info: Dynamic role with opportunities for career growth and leadership development.
- Why this job: Make a real impact with cutting-edge analytics while developing your skills.
- Qualifications: Experience in data engineering and proficiency in Python, R, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
Position Overview
Managing Data Engineer with Advanced Analytics expertise to drive innovative advanced analytics solutions for complex business problems.
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.
Required Education
None
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.
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.
- Demonstrated leadership and mentoring skills.
- Publication record in peer‑reviewed journals or reputable industry publications.
Benefits
- Tools and policies to support work‑life balance: flexible working, sabbatical programmes, paid paternity leave, maternity leave, and an innovative maternity returners scheme.
- More traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.
Pre‑Employment Screening
This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). Additional ranges of Personal Security Controls referred to as National Security Vetting (NVS) may apply, including meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
Equal Employment Opportunity
IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Advanced Analytics - eSC or eDV Clearance Required employer: IBM
IBM is an exceptional employer that fosters a culture of innovation and collaboration, particularly for Data Engineers in the advanced analytics domain. With a strong emphasis on work-life balance through flexible working arrangements and comprehensive benefits, employees are encouraged to grow professionally while contributing to cutting-edge projects. The opportunity to mentor junior engineers and stay at the forefront of emerging technologies makes IBM a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer-Advanced Analytics - eSC or eDV Clearance Required
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving advanced analytics or data engineering. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data engineering and analytics. Be ready to discuss your thought process and problem-solving skills, as they’re just as important as technical know-how.
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it shows initiative and gives you a better chance to stand out!
We think you need these skills to ace Data Engineer-Advanced Analytics - eSC or eDV Clearance Required
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your expertise in programming languages like Python, R, and SQL, and don’t forget to mention any experience with advanced analytics tools.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about advanced analytics and how your background makes you a perfect fit for our team. Be sure to mention any leadership or mentoring experiences you've had.
Showcase Your Projects:If you’ve worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. Discuss the challenges you faced and how you used data engineering principles to overcome them.
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. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at IBM
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering principles and advanced analytics techniques. Be ready to discuss your experience with programming languages like Python, R, and SQL, as well as tools like Pandas and NumPy. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior data 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 managed stakeholder expectations or led cross-functional projects to demonstrate your leadership capabilities.
✨Stay Current with Trends
Keep yourself updated on emerging trends and technologies in advanced analytics. During the interview, mention any recent developments you've followed or implemented in your work. This shows your passion for innovation and your commitment to driving progress within the organisation.
✨Prepare for Technical Questions
Expect technical questions related to predictive analytics tools like SPSS and machine learning frameworks such as TensorFlow or PyTorch. Practise explaining complex concepts in simple terms, as this will showcase your communication skills and ability to convey technical information to non-technical stakeholders.
