Forward-Deployed Data Engineer

Amatra Ltd; Greater London; Hybrid; GBP 32,000 - 52,000; Full time

Job summary

Amatra Ltd. is seeking an FDDE professional embedded with clients to tackle health and performance data challenges on site with Europe’s elite sporting organisations.

You will own end-to-end development of tailored data solutions, work with technical and executive stakeholders, and leverage AI to enhance operations while traveling to client sites as needed.

Qualifications

• 1+ years of data engineering experience with cloud infrastructure, APIs and large-scale data warehousing.
• Strong engineering background preferred (but not required).
• Willingness to travel up to 25% to client sites.

Responsibilities

• Work directly with technical, performance and executive stakeholders to solve their highest-leverage problems.
• Own the full lifecycle of developing custom solutions tailored to client needs, from ideation to deployment.
• Wrangling large-scale data and using AI to accelerate and enhance critical operations.
• Operate with autonomy to shape client strategy in a rapidly changing environment with dynamic objectives and iteration with users.

Skills

Data engineering

Cloud infrastructure

APIs

Tools

Cloud platforms

Data warehousing

AI for data ops

Job description

As an FDDE at Amatra you will be embedded directly with our customers to tackle their most pressing challenges head-on. This means being on the ground with some of Europe's elite sporting organisations, solving their most critical health and performance data problems.

Responsibilities

• — Work directly with technical, performance and executive stakeholders to solve their highest-leverage problems.
• — Own the full lifecycle of developing custom solutions tailored to client needs, from ideation to deployment.
• — Wrangling large-scale data and using AI to accelerate and enhance critical operations.
• — Operate with autonomy to shape client strategy in a rapidly changing environment with dynamic objectives and iteration with users.

Requirements

• — 1+ years of relevant data engineering experience including cloud infrastructure, APIs, and large-scale data warehousing.
• — Strong engineering background preferred (but not required), in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
• — Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.