Senior Data Engineer - eSC or eDV Required

Unleash your leadership potential as a Senior Data Engineer supporting public sector and defence IBM accounts, driving the development of innovative advanced analytics solutions. In this role, you will lead the charge in fostering innovation, promoting a culture of continuous improvement, and supporting the growth of junior engineers.

Join our Data Engineering team and make a meaningful impact on advanced analytics initiatives across our public sector and defence clients. Apply today and take the next step in your Data Engineering career.

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.

• 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.

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).

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.

• 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.