At a Glance
- Tasks: Lead innovative analytics solutions and mentor junior engineers in a dynamic environment.
- Company: Join IBM, a leader in technology and innovation with a commitment to diversity.
- Benefits: Enjoy flexible working, generous holiday, and comprehensive health coverage.
- Other info: Opportunity for career growth and involvement in exciting projects.
- Why this job: Make an impact with cutting-edge analytics while developing your skills and career.
- Qualifications: Experience in data engineering and proficiency in Python, R, and SQL required.
The predicted salary is between 55000 - 70000 £ per year.
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 in London employer: IBM
At IBM, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Data Engineers benefit from extensive professional growth opportunities, mentorship programmes, and a comprehensive benefits package that includes flexible working arrangements and generous leave policies. Located in a vibrant environment, our team is at the forefront of advanced analytics, driving impactful solutions while enjoying a supportive atmosphere that values work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer-Advanced Analytics - eSC or eDV Clearance Required in London
✨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 data engineering field. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just tell potential employers what you can do; show them! Create a portfolio of your projects, especially those involving advanced analytics or predictive tools like SPSS. We recommend sharing your work on platforms like GitHub to give hiring managers a taste of your capabilities.
✨Ace the Interview
Prepare for your interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving complex problems. We suggest doing mock interviews with friends or using online resources to get comfortable with the format.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to drive innovation in advanced analytics.
We think you need these skills to ace Data Engineer-Advanced Analytics - eSC or eDV Clearance Required in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data engineering and advanced analytics, 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 tell us why you’re passionate about advanced analytics and how your background makes you the perfect fit for this role. Be sure to mention any leadership experience you have, as we value mentoring at StudySmarter.
Showcase Your Projects:If you've worked on any cool projects related to data engineering or advanced analytics, make sure to include them! Whether it's a machine learning model or a big data solution, we want to see what you've done and how it can benefit us.
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.
✨Show Off 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 successfully managed stakeholder expectations or led cross-functional projects.
✨Stay Current with Trends
Demonstrate your knowledge of emerging trends in advanced analytics. Research recent advancements in machine learning frameworks like TensorFlow or PyTorch, and be ready to discuss how these could be applied to solve complex business problems. This shows your commitment to innovation and staying ahead in the field.
✨Prepare for Technical Questions
Expect technical questions related to data manipulation, statistical analysis, and predictive analytics tools like SPSS. Practise explaining your thought process when solving data-related problems, as this will help interviewers understand your analytical mindset and problem-solving abilities.
