Associate Data Engineer

5 dni temu

Poznań, Greater Poland TN Poland Pełny etat

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Optiveum is a recruitment and consulting company created based on our 20-plus years of experience in HR & IT services.

We work for Clients located in Poland and abroad providing our local and international Candidates with Project-based or Permanent job opportunities in a remote or office-based model.

DANE FIRMY/ COMPANY DATA

Contact us at: info (at) optiveum.com

Our client is a leading SaaS provider driving innovation in the insurance technology space Our client is renowned for transformative software solutions, enhancing critical functions like policy management, claims, and reinsurance. With over 20 years of expertise, they're pushing boundaries through a state-of-the-art Cloud Native platform, backed by a new competence center in Warsaw.

As the Data Team is growing, we are now looking for an

Location: Remote - from Poland

Job Summary:
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.

Key Responsibilities:

  • 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.
  • Perform other duties and activities as required.

Required Qualifications:

  • 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.

Preferred Qualifications:

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of big data technologies such as Hadoop, Spark, Snowflake, or Kafka.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and as part of a team.
  • Attention to detail and commitment to data quality.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Understanding of data warehousing concepts and best practices.
  • Experience with version control systems such as GitHub.
  • Ability to manage multiple tasks and prioritize effectively.
  • Knowledge of data security and privacy regulations.
  • Strong organizational and documentation skills.
  • Ability to learn and adapt to new technologies quickly.
  • Experience with data modeling and schema design.
  • Familiarity with Agile development methodologies.
  • Ability to troubleshoot and resolve technical issues.
  • Commitment to continuous learning and professional development.

What is offered:

  • 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.
  • Salary of max 15,000 PLN on a B2B contract.
  • Fully remote role with an option to work from the modern office in the center of Warsaw.
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