Energy Trading Data Analyst — Python, SQL & AWS (Hybrid)

Doghouse Recruitment; Randstad; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Travel allowance (blocked travel)

Sports subscription

Udemy account

Learning budget

Monthly social activities

Pension contribution

Job summary

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

Qualifications

• 3+ years of experience as a Data Analyst.
• Hands-on SQL experience, particularly PostgreSQL.
• Experience working in a cloud environment, specifically AWS.
• Affinity for data engineering with a ~75% analysis / 25% engineering split.
• Proactive self-starter who can work independently.
• Knowledge of the energy market is a plus.

Responsibilities

• Validate and benchmark incoming data from external providers.
• Extract insights from time series data and build dashboards.
• Shape data pipelines feeding forecasting and trading strategies.
• Collaborate with data engineers and the data team to improve data quality.
• Support trading decisions with data-driven analysis.

Skills

SQL

Python

Data analysis

PostgreSQL

AWS

Energy market knowledge

Tools

Docker

Kubernetes

AWS

Job description

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