Job title: Data Engineer
Type: Full-time, Contract
Location: Bulgaria-based, with flexible home, office, or hybrid working

What you'll do

You will join a cross-functional squad building the data foundations of a next-generation energy modelling platform. Your work will turn complex market data and legacy assets into reliable, production-ready data products. In practice, you will:

• Design, build and maintain robust data pipelines that ingest, transform and validate large-scale energy datasets.

• Work closely with data scientists and software engineers to operationalise models and expose outputs through APIs and product features.

• Develop clean, well-structured data models that support forecasting, scenario analysis, and interactive analytics through 2050.

• Help migrate legacy assets, such as Excel-based models and refinery databases, into secure, commercial-grade data products.

• Implement best practice for testing, monitoring, documentation and version control across all pipelines.

• Continuously improve performance, reliability and usability of the data platform within Snowflake and AWS.

Why this role

This is a high-impact role at a formative moment in a long-term product journey. Your work will sit at the core of a platform used by global energy market decision makers.

• You will be the key data engineering specialist in a modern product squad.

• You will have meaningful ownership over how data is captured, structured and delivered.

• You will work on real-world problems across forecasting, scenarios and model-driven analytics.

• You will enjoy the stability of a permanent role while working on a single, strategic product initiative.

Who is hedgehog lab

We are an outcome-driven product consultancy where engineering, product, design and research work side by side.

You will join a team that values curiosity, collaboration and impact, building products that truly matter.

What we are looking for

• Solid experience designing and running production data pipelines

• Strong Python skills and familiarity with modern data and ETL tooling

• Experience with cloud data platforms, ideally AWS and Snowflake

• Good understanding of data modelling, testing and version control

• Experience with time series or forecasting pipelines is a plus

• Domain experience in energy or oil and gas, or a strong motivation to learn quickly

• Clear communication skills and a collaborative, pragmatic mindset

Ready to apply?

Submit your application below. Please note that we are unable to offer visa sponsorship for this role.