Data Engineer - Python at Data Intellect

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Kubernetes, Apache Airflow, Pandas, Polars, Data Engineering, Data Science, SDLC, Agile, SaaS Implementation, Solution Architecture, L3 Support

Industry

IT Services and IT Consulting

Description

Company 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 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 A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted Department: Data Analytics & Engineering

Responsibilities

Implement and evolve SaaS data products within client environments, ensuring robust integration into data platforms and workflows. Design scalable data pipelines and provide technical leadership to junior team members while acting as a trusted partner for clients.