Data Intellect
financial and capital markets technology
DataEngineer-Python
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer - Python at Data Intellect. Skills: Python, Data Science, Data Engineering, SaaS data products implementation, data pipelines design, solution architectures design. Implement, configure and evolve SaaS data products within client environments. Own the technical delivery of SaaS implementations”
What You'll Achieve.
ensuring products are robustly integrated into client data platforms, workflows and operating models; enable SaaS products to scale effectively for each client; balancing product constraints with client‑specific requirements and best practice engineering standards; influence roadmaps, enhancements and implementation approaches; Identify and recommend improvements to product usage, configuration or architecture
Industry & Context.
Problem Solvers; providing solutions for the most complex of challenges
What They're Looking For.
Must Have
Minimum 2+ years Python experience in Data Science and Engineering, 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
What You'll Do.
configure and evolve SaaS data products within client environments
Own the technical delivery of SaaS implementations
Design and implement integration patterns
data pipelines and solution architectures
production-ready solutions
maintainable and well-documented solutions
How You'll Work.
Team & Collaboration
Collaborate closely with product, engineering and client stakeholders; Provide technical leadership and mentoring to junior team members; Contribute to and help shape our learning & development ecosystem; sharing implementation learnings, patterns and reusable assets across teams
Communication Scope
Excellent communication skills across peers, leadership and both business and technical
Process & Methodology
task estimation
Full Job Description
At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble , possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO 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
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