We are looking for a motivated Data Engineer with strong problem-solving skills and the willingness to work with a large group of people to join our team. This person will be responsible for supporting our business analytics team in building and maintaining the databases that power how we manage the business. Success in this role is highly dependent on the ability to manage tight deadlines, prioritize multiple tasks and achieve effective results in a high energy, fast-paced work environment.
Important note: Working with the US market may affect working hours and potentially working in a middle or second shift, according to the US time zone. RESPONSIBILITIES Deliver solutions that are well-engineered, maintainable, and tested consistently and quickly
Identify and understand issues, problems and opportunities as it relates to helping our business analytics team function at a granular level
Observe system performance in your domain and identify emerging problems
Quickly assess and resolve production incidents that arise in the components your team is responsible for
Work with a variety of stakeholders across the business to incorporate varying requirements into a robust data system
BENEFITS: Private health insuranceSick leave 100% paidCanteen with free meals and drinksFlexible working hoursAdditional vacation days after two years in the company We also provide up-to date equipment, entertainment facilities in a modern office right in the city center, company parties, yearly trip out of town, holiday presents and more.
Note: Flexible working hours and occasional work from home options in Better Collective help us achieve proper work-life balance. We strongly believe in the magic of teamwork, though, so we come to the office at least twice a week to keep the team spirits high. APPLICATION DEADLINE We look forward to hearing from you and accept applications until 15th of July. Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.
Expected start date: as soon as possible.
Bachelor's degree in a Computer Science, Mathematics, or equivalent experience
Strong analytical skills, ability to learn quickly, communicate and work collaboratively in a team environment
Experience with extracting, transforming and loading (ETL) data, particularly from a variety of 3rd party APIs.
Significant experience with Postgres, Airflow, Redshift, or strong SQL knowledge.
Experience with scripting languages (Python preferred)
Familiarity with AWS streaming services such as Kafka and Firehose.
Experience building and maintaining infrastructure in AWS or similar cloud environments.
Strong debugging/troubleshooting skills
Familiarity with scraping tools and technologies
Passionate about producing clean, maintainable, robust, well-tested code
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