Data Engineer in Respect Energy Holding S.A.

Are you passionate about data and technology? Do you dream of a job where your skills can influence global financial markets? If so, this is the proposition for you!

Join the Trading Team as a Data Engineer and contribute to the dynamic world of trading in financial markets!

Be a key member of the team by creating and managing the data infrastructure that powers our trading strategies. Work where innovation meets finance and help us anticipate and respond to market movements with unmatched speed and accuracy.

RESPECT ENERGY HOLDING S.A. is one of the largest independent companies on the electricity market in Poland, which was the first to offer its customers a 100% green energy mix, derived from renewable sources such as sun, wind, water and biogas.

Respect Energy's activities are based on several pillars, including: international trade in electricity, property rights and guarantees of origin, as well as energy sales to end users and activities promoting access to clean energy. Respect Energy invests in infrastructure for the production of green energy, mainly in wind and photovoltaic farms, thus expanding its portfolio of renewable energy sources and expanding its offer to customers. The company currently operates on 24 markets and cooperates with a group of over 1,000 energy producers.
The CICERO Shades of Green organization awarded Respect Energy's investments the highest CICERO Dark Green score.

• Minimum 3 years of experience as a Data Engineer or similar
• Knowledge of programming languages: Python, SQL
• Knowledge of ETL tools and data warehouses
• Strong analytical and problem-solving skills
• Ability to write unit/integration and end-to-end tests with best practices
• Experience in designing and building scalable architecture-based solutions microservice
• Ready for stationary work
• Knowledge of queuing systems (preferred Kafka)
• Knowledge of relational and non-relational databases

Miles seen:

• Experience in working with cloud solutions (Azure)
• Orientation in DevOps issues and experience in working with tools such as Docker, Kubernetes, Helm, Gitlab CI / CD from a software engineer's perspective
• Knowledge of issues related to application monitoring

Are you passionate about data and technology? Do you dream of a job where your skills can influence global financial markets? If so, this is the opportunity for you!

Join the Trading Team as a Data Engineer and contribute to the dynamic world of trading on financial markets!

Be a key member of the team by creating and managing the data infrastructure that powers our trading strategies. Work where innovation meets finance and help us anticipate and respond to market movements with unmatched speed and accuracy.

RESPECT ENERGY HOLDING S.A. is jone of the largest independent companies on the electricity market in Poland, which was the first to offer its customers a 100% green energy mix originating from renewable sources such as sun, wind, water and biogas.

Respect Energy's activities are based on several pillars, including: international trade in electricity, property rights and guarantees of origin, as well as energy sales to end users and activities promoting access to clean energy. Respect Energy invests in infrastructure for the production of green energy, mainly in wind and photovoltaic farms, thus expanding its portfolio of renewable energy sources and expanding its offer to customers. The company currently operates on 24 markets and cooperates with a group of over 1,000 energy producers.
The CICERO Shades of Green organization awarded Respect Energy's investments the highest CICERO Dark Green score.

,[Create and manage processes for collecting data from various sources such as databases, CSV files, APIs, etc., Processing and cleansing data, removing duplicates, correcting errors and normalizing data to ensure consistency and quality, Design , implementation and management of ETL (Extract, Transform, Load) processes that transform data from various formats and sources into a uniform structure suitable for analysis, Design and creation of databases and data warehouses, optimization of schemas and data structures for efficiency and flexibility, Execution data analysis, including examining trends, patterns and relationships in data to provide valuable business information, Database supervision, ensuring data security, creating backup copies and ensuring compliance with data protection regulations, Optimizing data processing processes and databases to ensure quick access to data and efficient analysis] Вимоги: Python, SQL, ETL, Azure, Docker, Kubernetes Бонуси та переваги: ​​Sport subscription, Training budget, Private healthcare, Small teams, International projects, Free coffee, Gym, Bike parking, Playroom, Mobile phone, In-house training, Modern office, Startup atmosphere, No dress code.