Your mission At FlexPower, the quantitative trading team builds and operates fully automated strategies in European short-term power markets.We own our PnL and our systems end-to-end — from data collection to execution. To strengthen the foundations that power our research and trading systems, we’re looking for a Data Engineer who takes pride in reliability, structure, and technical precision.No external clients. No politics. Just data, systems, and direct impact on trading results. Your profile You enjoy <ul><li>Designing clean, efficient, and reliable data pipelines.</li><li>Translating market and business understanding into well-structured data solutions.</li><li>Working closely with quantitative researchers and software engineers to make data useful, for both training and live trading.</li><li>Ensuring that data quality, availability, and consistency are never afterthoughts.</li><li>Collaborating in a focused, respectful team that values care, precision, and accountability.</li></ul>  You can support the team with <ul><li>Building and maintaining high-quality data pipelines in Python and SQL.</li><li>Managing data storage and access in BigQuery and AWS (S3, Lambda, ECS, Fargate).</li><li>Implementing robust ETL processes and schema management for historical and live market data.</li><li>Developing and maintaining a feature store for model training.</li><li>Ensuring reliable, low-latency data delivery for inference in production systems.</li><li>Automating workflows using Airflow.</li><li>Deploying and monitoring data systems using Docker, Git, CI/CD, and Grafana.</li><li>Designing systems that are transparent, well-documented, and resilient under change.</li></ul>You bring <ul><li>A strong engineering mindset — reliability, clarity, and ownership.</li><li>Professional experience with Python and SQL (BigQuery experience is a plus).</li><li>Understanding of cloud-based data architectures (AWS preferred).</li><li>Experience with ETL workflows and data orchestration using Airflow.</li><li>A structured, dependable, and cooperative working style.</li><li>Excellent communication skills in English (German is a plus).</li></ul>Bonus if you bring <ul><li>Experience with power market data such as prices, trades, weather, or forecasts.</li><li>Knowledge of Infrastructure-as-Code (e.g. Terraform, Pulumi) or cloud architecture best practices.</li><li>Experience with monitoring and alerting setups (Grafana, Prometheus, CloudWatch).</li><li>Familiarity with data pipeline testing, schema validation, or MLOps principles.</li></ul> Why us? What we offer<ul><li>Direct impact on the data backbone of one of Europe’s leading algorithmic power trading desks.</li><li>A fast-moving, highly technical environment with close collaboration across disciplines.</li><li>A culture that rewards precision, teamwork, and thoughtful execution.</li><li>Competitive compensation and performance-based bonus.</li><li>Modern office in central Hamburg and a focused, high-trust team.</li></ul> Disclaimer We are honest about the fact that energy, is still considered a male domain by some, and we wholeheartedly disagree! We build a diverse company environment that includes minds who do not think alike. We are looking forward to your application and are happy to answer any questions you may have about the position in question. As part of our recruitment process, all references provided will be verified, and—where legally permissible—a criminal record extract (certificate of conduct) will be obtained in accordance with the Federal Central Register Act. The collection and processing of this data are carried out in compliance with data protection regulations and solely for the purpose of determining suitability for the intended position.

We believe that traders provide an important and valuable service to energy markets. We do constant and fast-paced analysis on the current state of the electricity grid and provide all actors crucial information through price signals. We act as intermediaries and decision makers who take risks that other actors would like to avoid. We take on this responsibility with decisive caution. We reduce shortages and oversupply by looking ahead. We need volatility to act, however we reduce volatility overall. In order to trade successfully we need fair and open markets. In order to trade fairly with the market we believe in sharing information, failures and victories and yes: the occassional trash talk.

Data Engineer

Your mission At FlexPower, the quantitative trading team builds and operates fully automated strategies in European short-term power markets.We own our PnL and our systems end-to-end — from data collection to execution. To strengthen the foundations that power our research and trading systems, we’re looking for a Data Engineer who takes pride in reliability, structure, and technical precision.No external clients. No politics. Just data, systems, and direct impact on trading results. Your profile You enjoy&nbsp;<ul><li>Designing clean, efficient, and reliable data pipelines.</li><li>Translating market and business understanding into well-structured data solutions.</li><li>Working closely with quantitative researchers and software engineers to make data useful, for both training and live trading.</li><li>Ensuring that data quality, availability, and consistency are never afterthoughts.</li><li>Collaborating in a focused, respectful team that values care, precision, and accountability.</li></ul>&nbsp; You can support the team with&nbsp;<ul><li>Building and maintaining high-quality data pipelines in Python and SQL.</li><li>Managing data storage and access in BigQuery and AWS (S3, Lambda, ECS, Fargate).</li><li>Implementing robust ETL processes and schema management for historical and live market data.</li><li>Developing and maintaining a feature store for model training.</li><li>Ensuring reliable, low-latency data delivery for inference in production systems.</li><li>Automating workflows using Airflow.</li><li>Deploying and monitoring data systems using Docker, Git, CI/CD, and Grafana.</li><li>Designing systems that are transparent, well-documented, and resilient under change.</li></ul>You bring <ul><li>A strong engineering mindset — reliability, clarity, and ownership.</li><li>Professional experience with Python and SQL (BigQuery experience is a plus).</li><li>Understanding of cloud-based data architectures (AWS preferred).</li><li>Experience with ETL workflows and data orchestration using Airflow.</li><li>A structured, dependable, and cooperative working style.</li><li>Excellent communication skills in English (German is a plus).</li></ul>Bonus if you bring <ul><li>Experience with power market data such as prices, trades, weather, or forecasts.</li><li>Knowledge of Infrastructure-as-Code (e.g. Terraform, Pulumi) or cloud architecture best practices.</li><li>Experience with monitoring and alerting setups (Grafana, Prometheus, CloudWatch).</li><li>Familiarity with data pipeline testing, schema validation, or MLOps principles.</li></ul> Why us? What we offer<ul><li>Direct impact on the data backbone of one of Europe’s leading algorithmic power trading desks.</li><li>A fast-moving, highly technical environment with close collaboration across disciplines.</li><li>A culture that rewards precision, teamwork, and thoughtful execution.</li><li>Competitive compensation and performance-based bonus.</li><li>Modern office in central Hamburg and a focused, high-trust team.</li></ul> Disclaimer We are honest about the fact that energy, is still considered a male domain by some, and we wholeheartedly disagree! We build a diverse company environment that includes minds who do not think alike. We are looking forward to your application and are happy to answer any questions you may have about the position in question. As part of our recruitment process, all references provided will be verified, and—where legally permissible—a criminal record extract (certificate of conduct) will be obtained in accordance with the Federal Central Register Act. The collection and processing of this data are carried out in compliance with data protection regulations and solely for the purpose of determining suitability for the intended position.

Data Engineer

About the Job

About the Company

CF Flex Power

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