Data Engineer Python, SQL

As Data Analytics in Pixelz you are:

● Responsible for the maintenance, enhancement and improvements of the data warehouse mainly for Finance. However, involvement in other data outside of Finance may be relevant.

● Extract and transform data when new data is available from various sources.

● Build, maintain and analyze reports in Power BI and models we can use for performance tracking and optimization.

● Provide input on ongoing projects and initiatives to reach business targets; run and assess your proposed actions in collaboration with the relevant teams.

● Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future

● Work directly with the finance team and recommend solutions and process optimisations.

● Document every data process, control version, backups.

You have more than 3 years of experience in building data warehouses and data analysis.

Technical Skills:

● Proficiency in SQL, Python, Excel, Google Sheets.

● Deep understanding of principles of building a data warehouse and data modeling.

● Used to work with API and data sorting.

● Statistics, Business intelligence, Data Analytics, Data Science, or a comparable educational background

● Google Big Query and Google Cloud Platform.

● Good communication skills in English. Personal skills:

● Analytical mindset, with proven track record in using data to measure performance and make decisions.

● Good problem-solving skills including the ability to analyze and resolve complex problems using data.

● Ability to work under pressure in a fast-paced and rapidly changing environment

● Presenting and communicating the results of analyses and investigations to a variety of stakeholders across the department and wider company

● Good teamworking skills, project management skills

● Competitive salary package

● International working environment with excellent diversified company culture.

● Flat, and transparent working environment where employees are empowered and developed.

● Great opportunities in developing career pathways, English and soft skills.

● Improve English competency by working directly with foreign colleagues.

● Pixelz Care insurance package and compulsory insurance by law.

● Up to 15 annual leave days per year.

● Summer trip, teamwork activities.