Data Engineer-Advanced Analytics - eSC or eDV Clearance Required

Introduction

At IBM Consulting UK Future Now, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.

We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

• 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), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.

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!

• 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.j
• 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.

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, Num Py, Dask).
• Strong leadership and communication skills.
• Ability to lead cross-functional teams and manage stakeholder expectations.

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

• Experience with machine learning frameworks (Tensor Flow, 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.