Senior Data Engineer - eSC or eDV Required
Indexed description
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.
We Offer
- 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.
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.
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.
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