Data Engineer - Python
INTRODUCTION.
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
Job Details.
> Reference:
REF83P
> Department:
Data Analytics & Engineering
> Location:
New York Office
Suite 21099, 21st Floor, 101 Hudson Street, Jersey City, New Jersey, 07302, USA
> Contract Type:
Full-time
> Experience:
Mid-Senior Level
> Industry:
Information Technology And Services
> Closing Date:
30/11/2024
Requirements.
Qualifications
Experience and skills required:
- 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
- Excellent communication skills across peers, leadership and clients; both business and technical
Responsibilities.
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
You'll know if you're up to the challenge
Apply Nowour Benefits.
Hybrid working.
The commute can be a pain, but there's really no virtual replacement for sitting around a whiteboard with teammates. We offer hybrid working, with flexbility around in-office or from-home, allowing our people to achieve a good work/life balance.
REFERRAL SCHEME.
We love to see referrals coming through for people that could add to the ever growing Data Intellect team. Referring a friend means cash for you!
Travel opportunities .
We offer opportunities to work globally in locations such as London, New York, Hong Kong, Singapore and Japan- with all expenses paid!
Healthcare cover.
We provide private health care via Benenden Health, including 24/7 GP, Mental Health helpline, medical diagnosis and treatment, and physiotherapy.
Holiday entitlement
We get up to 27 days leave, public holidays, compensatory days off, and holiday carry over (different holiday entitlements apply depending on region)
Continual professional development.
We have extensive training ranging from leadership to technical skills. Monthly 1-2-1s with your People Leader will support and guide you in the right direction. We run an internal promotion process twice a year.