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Doghouse Recruitment is seeking a Data Analyst for an Amsterdam-based energy trading and optimization company. You'll join a small data team (4th member) and work in a fully AWS-based environment using Python and PostgreSQL to turn market and forecast data into actionable insight that supports trading decisions.
The role blends analysis and engineering (roughly 75/25). You'll validate data from providers, benchmark time series, build dashboards, and shape data pipelines feeding forecasting and
Our client is an Amsterdam based energy trading and optimization company on a mission to accelerate the energy transition. The company has grown to over 40 people, with a 12 person tech organization split across software, infrastructure, and data teams.
You'll join a 3 person data team (a Team Lead and two Data Engineers) as the team's 4th member and its first dedicated Data Analyst. You'll work in a fully AWS-based environment, primarily using Python and PostgreSQL, turning incoming market and forecasting data into insight that directly supports trading decisions. This is a long-term, end-to-end project: you'll take ownership of making the underlying data accurate, validated, and usable for the business, with room to grow into more responsibility as a medior analyst.
The role is a mix of analysis and engineering, roughly 75/25: validating and benchmarking incoming data from external providers (including meteorological and energy market data), extracting insights from time series data, building dashboards, and shaping the data pipelines that feed the business's forecasting and trading strategies.
3 people including the lead: 1 Team Lead, 2 Data Engineers. This hire becomes the 4th.
Python, PostgreSQL, AWS (Timestream and DynamoDB experience a plus), Docker and a bit of
Kubernetes a nice to have.
Full time, 40 hours per week. 3 days per week in the Amsterdam office, Monday and Friday compulsory, third day flexible.
Phone screening, take home assessment (one week to complete), final interview with the Data Team.