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

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.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.