Data Foundation Lead

About Eidra UK

Eidra brings together around 1,600 people across companies in design, technology, data and business transformation, such as Umain, Kurppa Hosk, Above and Curamando. In the UK, we combine those skills for clients from our office in London. We’re still a small team in London, so you get the spirit of a startup with the backing of a much larger group.

We work AI-first, and our agentic development work is growing quickly. Great agents need great data, so that’s where we’re heading next, and we’d love you to help lead the way. As our first data hire in the UK, you’ll become part of our founding family here, with real room to shape how we do things. We’re looking for someone who’s naturally curious, loves to build, and gets excited about creating something from the ground up.

The role

We’re looking for a senior, hands-on data generalist who knows a data foundation is more than a platform.

You’ll design and deliver data foundations for AI-driven insights and activation. That means the platform, but also the data models, governance, ownership and teams around it. No two organisations need the same foundation, so you’ll fit each one to the client’s size, maturity and goals.

Data foundations are changing. Clients now want custom reporting apps and AI agents that answer business questions on their own. That puts more weight on strong data models, a semantic layer that gives people and AI the same definitions, and clear rules for what AI can access.

You’ll work as an equal with client leadership, and have experienced data colleagues across Eidra to lean on, including our Data Foundation team at Curamando in Stockholm.

What you’ll do

• Assess a client’s data foundation and set the roadmap with their leadership.
• Design and build cost-efficient cloud data platforms, choosing the architecture and tools that fit each client.
• Define data models and semantic layers that AI agents and downstream applications can rely on.
• Work closely with our agentic development teams, so the agents they build have the data they need.
• Shape governance, ownership, security and access for both people and AI.
• Help clients build the data team they need and decide where AI fits in their work.
• Set standards for orchestration, CI/CD, testing, monitoring and infrastructure as code.
• Work AI-first with coding agents, and shape how our team and clients use them, holding AI output to the same standard as their own.
• Contribute to proposals, scoping and pitches, and help shape our data offering in the UK.
• Coach colleagues, share what works and help raise the bar for data work across Eidra UK.

What we’re looking for

• Deep expertise in at least one area of data, and enough breadth to scope and run work across the whole value chain.
• Many years of experience building data platforms across different clouds and tools, including in a lead or architect role.
• A business-first view. You start from the business problem and treat tooling as a means to an end.
• Experience shaping governance, ownership and team setup in both startups and large enterprises, and the ability to shift gears to match each client.
• Strong data modelling skills and experience with semantic layers.
• Experience leading and coaching data teams.
• A love of building. You care about what you ship, and maybe coding agents got you hands-on again after years in engineering management.
• Strong Python and SQL skills.
• Clear thinking. You turn vague questions into a concrete plan and explain trade-offs to engineers and executives alike.
• Opinions on how AI is changing data foundations and engineering work, and the experience to back them up.

We’re vendor agnostic and pick the stack that fits each client. You understand how a modern data platform is put together: what job each layer does and which products fit where. You have hands-on experience with at least one product in each layer below. You’re also happy to switch vendors between clients, for example Azure for one and GCP for the next.

• Cloud: AWS, GCP, Azure
• Ingestion: Fivetran, Airbyte, …
• Warehouse and lakehouse: Snowflake, Databricks, BigQuery, Microsoft Fabric
• Transformation: dbt
• Orchestration: Airflow, Dagster, Prefect, …
• BI and semantic layers: Power BI, Looker, Tableau, …
• Activation and CDPs: Hightouch, Census, Segment, …

Nice to have

• Building the data side of agentic features, such as MCP servers that agents query, retrieval over structured data and evals.
• Experience in a consultancy or agency setting.

Working setup

We value working together in person, so we don’t offer fully remote work. Our London office is your base, and you’ll often be on site with clients. Remote days are fine, but we encourage you to be in the office when you can.

Don’t tick every box? Apply anyway. How you think and what you’ve built matter more to us than a perfect match.