VisiQuate is looking for a Data Engineer who is passionate about working with data and wants to grow in the direction of data architecture and modern data platform design. This role goes beyond building pipelines. You will play an active part in shaping how data is structured, stored, and optimized, working with large-scale datasets accumulated over more than 16 years. We are looking for engineers who are curious about different data modeling approaches, stay up to date with industry trends, and continuously expand their thinking beyond standard solutions.
We are open to candidates with different backgrounds and strengths, but you should strongly align with at least one of the following profiles: ● Technical Expert — You have deep knowledge of data modeling, architecture patterns, and platform design. You can assess a data system and quickly identify weaknesses and improvements. You are familiar with approaches like Data Vault, understand trade-offs between different modeling techniques, and have strong hands-on experience with SQL and data pipeline tooling. ● Hands-On Practitioner — You have a proven track record of improving systems in practice. You automate manual processes, optimize inefficient pipelines, and reduce technical debt. You focus not just on maintaining systems, but on making them better. Your experience is demonstrated through concrete results and impact. ● The High-Potential Engineer — You may have fewer years of experience, but you learn fast, take initiative, and don’t wait to be told what to improve. You research new approaches on your own, propose ideas, and follow through. You’re the kind of person who opens a ticket before someone asks you to.
Requirements
●4+ years of experience in data engineering or database development ●Strong understanding of data modeling principles ●General awareness of alternative data modeling approaches (for example, Data Vault) ●Experience building ETL/ELT pipelines ●Experience with at least two of the following: MS SQL Server, Snowflake, PostgreSQL, MySQL, Azure SQL ●Experience with SSIS or similar tools ●Familiarity with workflow orchestration tools such as Airflow or Dagster is a plus ●Basic to intermediate knowledge of Python ●Experience with Git (branching workflows) ●Understanding of CI/CD tools ●Basic understanding of cloud environments and managed database services ●English — Intermediate or higher
Буде плюсом
●Interest in modern data architecture and emerging approaches ●Experience with BI tools such as Tableau or MicroStrategy ●Experience working with large datasets
Пропонуємо
●Work in a team of experienced data engineers and domain experts ●Opportunity to grow into a senior or architectural role ●Participation in real data platform improvements ●Flexible working schedule ●Free English classes ●Equipment provided
Обов’язки
●Develop and maintain ETL/ELT processes ●Support and improve the existing data platform ●Work with different data modeling approaches (such as Star and Snowflake schemas) ●Participate in data optimization and automation initiatives ●Research new tools, technologies, and approaches, and share ideas with the team ●Collaborate with stakeholders to support data-related needs
Про проєкт
VisiQuate is a SaaS platform that helps healthcare and enterprise companies transform complex data into actionable insights. We work with terabytes of data, combining data engineering, analytics, and domain expertise into a single platform that has been evolving for over 16 years.
