3+ years experience with Python in Data Science and Engineering
Familiarity with Kubernetes, Apache Airflow, Pandas, Polars
Strong understanding of data science, engineering, and software delivery
Experience in developing and delivering data-driven applications
Able to estimate tasks and work independently
Knowledgeable in SDLC, agile methodologies, and related tools
Proficient in providing L3 support
Exceptional communication skills for both technical and non-technical audiences
Responsibilities
Implement and evolve SaaS data products for client environments
Own technical delivery of SaaS implementations into client systems
Develop deep client relationships during long engagements
Design integration patterns and data pipelines for scalable SaaS solutions
Deliver high-quality, production-ready solutions
Collaborate with stakeholders to influence product roadmaps and enhancements
Mentor junior team members on SaaS delivery and best practices
Contribute to learning and development by sharing insights and assets
Benefits
Flexible working options for enhanced work/life balance
Comprehensive healthcare coverage, including mental health support
Participation in regular social events and team-building activities
Full Job Description
Job Description
What you'll be doing:
Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to long-term adoption and optimisation
Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models
Work on long-running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time
Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client
Deliver high-quality, production-ready solutions, balancing product constraints with client-specific requirements and best practice engineering standards
Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches
Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices
Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams
Identify and recommend improvements to product usage, configuration or architecture based on real-world client exposure
Produce clean, maintainable and well-documented solutions aligned to product standards and client specifications
Continue to build your own capability through hands-on delivery, certification and exposure to multiple clients and industries
Qualifications
Qualifications
Experience and skills required:
Minimum 3+ years Python experience in Data Science and Engineering
Experience with Kubernetes, Apache Airflow, Pandas, Polars
In-depth of knowledge across data science and engineering and software delivery
Development and delivery experience of data-driven applications and solutions
Capable of task estimation, proactive and autonomous
Solid knowledge of SDLC, agile and appropriate tooling
Breadth of L3 support experience
Excellent communication skills across peers, leadership and clients; both business and technical
Additional Information
What we offer:
Flexible working - we offer hybrid working so our people can achieve that elusive work/life balance.
Healthcare cover - provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
Regular social events, prizes and giveaways - our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness
