Benefits
- 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
Responsibilities
- Lead the development of advanced analytics solutions to address complex business challenges within public sector and defence environments
- Mentor and support junior data engineers in their professional growth
- Conduct statistical analysis, data collection, data mining, and text mining activities
- Design, build, and oversee solutions for advanced analytics projects
- Use predictive analytics tools (such as SPSS) to draw insights and communicate findings
- Stay current with emerging trends and technologies in advanced analytics, helping to drive innovation across 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
Security screening and background checks
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)
Flexible Working
IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment
Equal Opportunity Employer Statement
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, 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
Senior Data Engineer - eSC or eDV Required employer: IBM Computing
At IBM CIC, we pride ourselves on being an exceptional employer that fosters a culture of innovation and continuous learning. Our commitment to employee growth is evident through our robust development opportunities and collaborative work environment, where your unique skills are valued and encouraged. Located in the UK, our Consulting Client Innovation Centers provide a dynamic setting for Java Developers to engage with cutting-edge technology and make a meaningful impact across various industries.
