Data Engineer

Why join our team? We offer you:

• Growth opportunities, clear development plan, and an expert mentor to help you get started
• Full training and peer-to-peer feedback every step of the way
• Performance-based and yearly bonuses, paid overtime, 100 % salary during illness
• Additional health insurance
• Periodic internal presentations (e.g. technical, business, HR related), or necessary external trainings covered by the company
• Possibility of remote work
• Comfortable schedule: you can choose to start at 9:00 or 10:00 (Monday - Friday)
• Catered lunches, tasty days, big selection of beverages & free breakfasts
• Half a day off on your birthday
• Gym compensation program
• Budget for language courses
• Regular team events, corporate traditions (e.g. birthday celebrations, Secret Santa, happy hour and many others)

What you’ll do:

• Design, develop, and maintain a scalable Data Warehouse or Data Platform.
• Collaborate with stakeholders to gather requirements and understand business needs.
• Build ETL (Extract, Transform, Load) processes to integrate data from various sources.
• Ensure data quality, integrity, and security across the data platform.
• Develop and optimize SQL queries for data extraction and analysis.
• Create and maintain comprehensive documentation for the data architecture and processes.
• Perform data analysis to support business decision-making.
• Implement data governance best practices.
• Stay updated with the latest industry trends and technologies in data science and data engineering.

What you need:

• Education: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Experience: Proven experience (3+ years) as a Data Scientist or Data Engineer.
• Hands-on experience with building and maintaining Data Warehouses or Data Platforms.
• Experience with ETL tools and processes.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle, Clickhouse).

Technical Skills:

• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with data visualization tools (e.g., Tableau, Superset).
• Experience with Apache Airflow
• Familiarity with data modeling and database design.
• Understanding of data governance, data quality, and data security best practices.

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.
• Preferred Qualifications:
• Certifications: Relevant certifications (e.g., AWS Certified Big Data - Specialty, Google Cloud Professional Data Engineer).
• Experience:
• Experience with NoSQL databases.
• Experience with machine learning and data mining techniques.

P.S. Lack of confidence can sometimes hold us back from applying for a job. We'll let you in on a secret: there's no such thing as a 'perfect' candidate.
Salt Edge is a place where everyone can grow. Whatever background you bring with you, we encourage you to apply if this is a role that would make you excited to come to work every day.