Description:

Apify's mission is to make the web more programmable, allowing users to automate tasks and collect data efficiently.
The company is looking for a Senior Data Engineer/Analyst to enhance their analytics and business intelligence capabilities.
The role involves joining an existing data team of four analysts and collaborating with three product teams to improve data-driven approaches.
Responsibilities include designing and implementing ETL solutions, focusing on MongoDB data extraction, and maintaining data pipelines.
The position offers challenges due to the diverse datasets and complex data models used in the Apify platform.
Key tasks include identifying new data sources, ensuring data quality, and providing support to team members and stakeholders.

Requirements:

Candidates should have experience in breaking down data engineering tasks into clear communications.
Strong knowledge of NoSQL databases, particularly MongoDB, is required.
Advanced skills in SQL and experience with Keboola are necessary.
Familiarity with reporting tools, ideally Tableau, is expected.
Experience in data architecture design, including ETL processes and data pipelines, is essential.
Attention to detail, strong organizational skills, and excellent communication skills in English are required.

The position offers space, support, and autonomy for personal growth with a direct impact on the company's success.
Employees can work remotely and enjoy flexible working hours.
The company has a zero bullshit policy, focusing on efficient tools like GitHub and Notion.
There are no restrictions on holidays as long as work is completed.
Employees receive stock options, profit sharing, and a generous hardware budget.
The office welcomes pets, kids, and bikes, and offers free lunches daily.
Additional perks include unlimited snacks and drinks, free entry to the Prague Zoo, and various recreational activities.
The hiring process includes an intro call, home assignment, interview, team meeting, and offer.