TL;DR
Senior Data Engineer (AI): Building and optimizing data pipelines and workflows for GenAI-related initiatives with an accent on data ingestion, transformation, and integration processes. Focus on visualizing and sharing data output to support analytical insights and contributing to impactful AI solutions.
Location: Fully Remote (Poland). Must be based in Poland and ability to work in CET timezone.
Company
hirify.global offers a gateway to exciting career prospects, committed to helping job seekers thrive in a fulfilling work environment, often collaborating with a leading global consulting client on enterprise-scale digital and analytical transformations.
What you will do
- Develop and maintain data pipelines, ingestion, transformation, and integration processes.
- Work on visualizing and sharing data output to support analytical insights.
- Transform raw data into accurate and structured data models or marts.
- Perform ad-hoc and advanced analytics tasks, including novel data exploration.
- Collaborate with product and engineering teams on requirements and asset definitions within an agile framework.
- Drive innovation and contribute to impactful AI solutions within the organization.
Requirements
- 5+ years of experience in BI, application development, database development, ETL, or data analysis with strong SQL knowledge.
- Experience with cloud infrastructure such as AWS.
- Experience with container technologies like Docker / Kubernetes.
- Experience building data pipelines and workflows, including exception handling.
- Experience working with large datasets in CSV, JSON, Avro, Parquet formats.
- Hands-on coding and application development experience with Python.
- Experience with SQL and NoSQL databases, ETL tools, and BI platforms (Tableau, Power BI).
- Solid understanding of REST APIs, data modeling, warehousing, lakes, and big-data concepts.
- Understanding of SDLC and tools such as JIRA, Git-Hub.
- Bachelor’s degree in Engineering, Computer Science, or related field.
- English: Upper-Intermediate (B2) required.
Culture & Benefits
- Strong self-management and ability to work independently.
- Proactive, ownership-driven mindset.
- Effective and clear communication in distributed teams.
- Collaborative approach and openness to feedback.
- Strong problem-solving abilities in ambiguous contexts.
- High attention to detail and code quality.
- Adaptability to shifting priorities and new technologies.
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