Senior Data Engineer

Stack

Responsibilities

• ▹Participate in the design and development of data solutions for challenging projects
• ▹Develop projects from scratch with minimal supervision and strong team collaboration
• ▹Foster best practices, clean and reusable code
• ▹Develop ETLs using Spark (Python/Scala)
• ▹Work on cloud-based projects (Azure/AWS)
• ▹Build scalable pipelines using a variety of technologies

Requirements

• ▹At least 4 years of experience in data engineering
• ▹Strong experience with Python or Scala and Spark, processing large datasets
• ▹Solid experience with cloud platforms (Azure or AWS)
• ▹Hands-on experience building data pipelines (CI/CD)
• ▹Experience with testing (unit, integration, etc.)
• ▹Knowledge of SQL and NoSQL databases
• ▹A strong team player mindset

Nice to have

• ▹Experience with Databricks, Snowflake, or Fabric
• ▹Experience with IaC (Infrastructure as Code)
• ▹Fluent English

Soft skills

What we offer

• ▹Salary determined by the market and experience
• ▹Flexible schedule, 35 hours/week
• ▹Fully remote work (optional)
• ▹Flexible compensation (restaurant, transport, and childcare)
• ▹Free health insurance, with a co-payment for dental services
• ▹Individual budget for training or equipment, free Microsoft certifications
• ▹English lessons
• ▹Birthday day off
• ▹Monthly bonus for electricity and internet expenses at home
• ▹Discount on gym plan and sports activities
• ▹Annual company team-building event
• ▹Extra perks: events, welcome pack, baby basket, Christmas basket, employee discount portal

About the company

Plain Concepts is a global company of over 500 people passionate about technology and innovation, with offices in more than 6 countries. It builds custom solutions for clients, from artificial intelligence to blockchain.