Mid-Level Data Engineer (Onsite, Full-Time) [HR215]

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About the Role
As a Data Engineer within the Data Infrastructure practice, you will help build the Romanian data platform from the ground up, creating a single source of truth for the business. You will turn fragmented operational data into a coherent platform spanning finance and asset reporting, building on a model already proven in the UK.
This is a senior, hands-on Builder (L3) role operating close to Engineering Lead level. You will independently own complex workstreams, work closely with UK engineers and the Romania CFO, and take increasing responsibility for the hardest parts of the mission. The role is based in the Romania office and begins with a month-long onboarding and training programme in London. You will become a foundational member of the local team while maintaining close collaboration with UK headquarters.

Responsibilities

- Own end-to-end delivery of complex workstreams on the Romania platform, building production pipelines, dbt models, and Looker reporting on top of Charisma and other sources.

- Automate currently manual finance reporting, including accounts receivable and overdue reporting, consolidation reporting, property P&L, and supplier reporting.

- Integrate sources currently held in Excel and Power BI.

- Support development asset cash flow modelling across the project portfolio.

- Run client conversations within your workstream, translating business needs into technical solutions and technical constraints into plain language.

- Work closely with the Romania CFO, with a functional reporting line to them, staying aligned on the business's most pressing priorities and ensuring the platform tackles its biggest problems first.

- Contribute to setting technical standards locally and make trusted technical judgement calls within the practice.

- Mentor the graduate engineer, review their work, unblock them, and help bring the local team up to speed.

- Work alongside local finance and asset teams to enable fast, on-the-ground delivery.

- Complete a month-long onboarding and training programme at the London office, learning the technology stack and ways of working directly from UK engineers.

- Build relationships with UK engineers during onboarding and continue working closely with UK headquarters on an ongoing basis.

- Design, build, ship, and support high-quality and reliable engineering work.

- Own your workstream end to end and build client trust within it.

- Develop your technical depth, breadth, judgement, autonomy, and mentorship capabilities as you progress towards Engineering Lead responsibilities.

- Support the more junior engineer on the team.

- Initially focus on the Romanian business while contributing to a platform designed to extend to other Romanian businesses over time.

Requirements

- Around 3-5 years' commercial experience as a Data Engineer or Analytics Engineer.

- Strong SQL and dbt skills, with sufficient depth to build and support production data systems.

- Experience across a modern data stack, including a lakehouse or warehouse, an ELT or pipeline tool, and a BI tool.

- Track record of shipping, supporting, and iterating on pipelines, models, and reporting in production and delivering to deadlines.

- Strong technical judgement, with the ability to make sensible architecture and design decisions independently and help set the technical bar for others.

- Ability to hold technical conversations directly with non-technical stakeholders without losing either the technical or business perspective.

- Genuine appetite to mentor others and progress towards an Engineering Lead role.

- Strong written and spoken English.

- Ability to work from the Romania office alongside local finance and asset teams.

- Ability to undertake the initial month-long onboarding and training programme at the London office. The programme and team operate in English.

Nice to Have

- Experience with Databricks or a comparable modern lakehouse or data warehouse.

- Experience with Looker or Power BI.

- API and integration experience.