Associate Data Engineer

March 19

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Optiveum

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Optiveum is a recruitment and consulting company based on over 20 years of experience in HR and IT services. It operates both locally in Poland and internationally, offering candidates project-based or permanent job opportunities, either remotely or on-site. Optiveum specializes in placing professionals across various fields including IT, finance, accounting, and manufacturing, ensuring that both clients and candidates achieve their professional goals.

2 - 10 employees

🎯 Recruitment

👥 HR Tech

📋 Description

• Our client is seeking an Associate Data Engineer to support the development, maintenance, and optimization of data pipelines and data-driven applications. • This role is ideal for a professional looking to apply technical expertise, analytical skills, and collaboration to resolve data challenges within an innovative and fast-paced environment. • The Associate Data Engineer will work within established procedures and guidelines to execute daily tasks, analyze data, and contribute to ongoing projects, all while continually learning and growing within the role. • Assist in the development and maintenance of data pipelines to facilitate data extraction, transformation, and loading (ETL) processes. • Apply learned techniques to solve moderately complex data-related issues, escalating more complex problems to senior team members as needed. • Collaborate with data analysts, software engineers, and other teams to ensure efficient integration of data systems. • Perform data cleansing, validation, and transformation with oversight to ensure data accuracy. • Monitor data pipelines and contribute to identifying areas for performance improvements, with guidance from senior engineers. • Identify and resolve routine data issues, escalating larger problems or anomalies for further investigation. • Assist in creating basic reports, dashboards, and other data visualization tools, following predefined templates and standards. • Contribute to ongoing data quality investigations, learning how to resolve issues that may affect accuracy or performance. • Support the implementation of data security protocols, ensuring compliance with internal standards and practices. • Participate in code reviews and contribute to discussions on best practices for data engineering. • Assist in documenting processes, workflows, and data systems to ensure internal team knowledge is shared.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent experience. • At least 1 year of experience in data engineering or a similar technical role, ideally in a dynamic environment. • Proficiency in SQL and experience with relational databases such as Snowflake. • Experience with data pipeline tools such as Fivetran, dbt, Apache Airflow, or similar. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. (Preferred) • Knowledge of big data technologies such as Hadoop, Spark, Snowflake, or Kafka. (Preferred) • Familiarity with data visualization tools such as Tableau or Power BI. (Preferred)

🏖️ Benefits

• Be part of a high-performing, collaborative culture where your expertise shapes the future of insurance technology. • This remote role offers growth, innovation, and an opportunity to lead in a fast-paced environment.