Data Engineer
LocationCzechia Office, Prague
Work modehybrid
Typefull-time
SeniorityMid
DepartmentAnalytics
Company size201–500 people
PostedJul 19, 2023 · 3y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science or related field
Solid programming skills in pure Python
Experience with data oriented programming using at least one library like Numpy, Pandas, PyArrow, Polars, PyTorch, TensorFlow
Solid understanding of ETL, ELT and data lake concepts
Understanding of data warehousing patterns such as dimensional modeling, star/snowflake schemas, and slowly changing dimensions
Strong SQL skills with experience optimizing performance of relational database queries
At least basic understanding of trade-offs between different data storage formats and technologies
Interested in working with data, understanding its meaning and ensuring data quality and reliability
Dedicated to developing skills in data engineering and excited about growth opportunities
Experience with frameworks like Dagster or Spark for building scalable data pipelines
Skills
Python
Numpy
Pandas
PyArrow
Polars
PyTorch
TensorFlow
SQL
Dagster
Spark
Benefits
Competitive salary
Yearly bonus
Paid holidays
Flexible hours
Home office
High end workstation
Sponsored lunch
Free snacks
Multisport card
Expert colleagues
About the company
We are a unique combination of a technology company and a trading house. Our mission is to turn data into market-beating trading strategies by using sophisticated mathematical models while helping to balance the power grid.
Our team consists of top-class developers, quant analysts, and traders who use their accumulated know-how to create a state-of-the-art platform. No legacy code, no mundane maintenance and outdated technologies, just the pure engineering joy of creating a well-designed piece of software.
About the role
As a Data Engineer at Second Foundation, you’ll be a crucial part of a team focused on designing, implementing, and maintaining reliable data pipelines that gather and deliver data from multiple sources. You’ll apply your data processing skills while having the opportunity to explore the power markets sector, ensuring timely, high-quality data to support our trading and analysis initiatives.
What you would work on:
•
Cooperate in designing and developing reliable data pipelines to collect, process, and deliver data from multiple sources.
•
Work with data science teams to understand their data needs and help develop solutions to meet those needs.
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Learn to build and maintain ETL and ELT workflows that extract, transform, and load data, ensuring it is processed accurately.
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Participate in performance tuning and optimization of data workflows to meet our reliability standards.
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Stay up-to-date with industry trends and emerging technologies in data engineering.
What makes you a great candidate:
•
You reached a Bachelor’s or Master’s degree in Computer Science, or a related field.
•
You’re interested in working with data, understanding its meaning and ensuring data quality and reliability.
•
You have solid programming skills in pure Python and experience with data oriented programming using at least one library like: Numpy, Pandas, PyArrow, Polars, PyTorch, TensorFlow etc.
•
You have solid understanding of ETL, ELT and data lake concepts, and data warehousing patterns such as dimensional modeling, star/snowflake schemas, and slowly changing dimensions.
•
You have strong SQL skills with experience optimizing performance of relational database queries
•
You have at least basic understanding of the trade-offs between different data storage formats and technologies. Experience with frameworks like Dagster or Spark for building scalable data pipelines is a plus.
•
You’re dedicated to developing your skills in data engineering and excited about growth opportunities.
What we offer?
•
Brand new office in the city center – Masarycka.
•
Competitive salary package with the possibility of a yearly bonus.
•
25 days of paid holiday.
•
Flexible working hours and home-office options.
•
High-end workstation.
•
Sponsored lunch in the office. Every workday.
•
Free snacks at the office.
•
Multisport Card – fully paid by the company.
•
Colleagues who are absolute experts in what they do.