Data Engineer (On-site)
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SeniorFull-time·Umowa o pracę
#404248·Dodano 20 dni temu·4
Źródło: CapgeminiTech Stack / Keywords
AIETLSQLPythonDatabricksAzure CloudAzure DatabricksDevOps
Firma i stanowisko
Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of experience, operating with over 420,000 team members in more than 50 countries. The role supports a strategic Data & AI initiative for a leading international legal organization and involves delivering scalable data solutions and advanced AI-powered products.
Wymagania
- 5+ years of experience in Data Engineering.
- Strong SQL and Python skills.
- Knowledge of Databricks and related AI technologies.
- Experience with Azure Cloud and Azure Databricks specifically.
- Experience of DevOps / DevSecOps practices.
- Hands-on experience with Databricks, Spark or similar big data technologies.
- Able to set up and maintain data pipelines and metadata pipelines.
- Experience obtaining data from source systems (e.g. Workday), including cleansing and ingesting that data.
- End-to-end experience of data ingestion, data lake and data reporting.
- Experience designing scalable data architectures and pipelines.
- Understanding of data governance and data quality principles.
- Strong analytical and problem-solving skills.
- Fluent English.
- Must be based in, and available to work on-site full-time from, Gdańsk or Wrocław.
Nice to have:
- Knowledge of Fivetran and other ETL tools (highly desirable).
- Experience supporting AI/ML solutions.
- Knowledge of legal, financial or professional services environments.
- Azure certifications.
Obowiązki
- Design, build and maintain data pipelines and data integration solutions.
- Support existing AI products focused on contract analysis, risk factor identification and legal document intelligence.
- Develop and optimize data models and ETL/ELT processes.
- Work with structured and unstructured datasets to enable AI and analytics solutions.
- Collaborate with Data Scientists, Software Engineers and business stakeholders.
- Ensure data quality, reliability and performance of enterprise data platforms.
- Support new Data & AI initiatives and evolving business requirements.
Benefity
- Yearly financial bonus.
- Private medical care with Medicover including additional packages (dental, senior care, oncology) available on preferential terms.
- Life insurance.
- Access to NAIS benefit platform.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on the NEXT platform.
- Free access to Education First languages platform, TED Talks, and Udemy Business materials and trainings.
- Hybrid working model combining modern office and ergonomic work from home with home office package (including laptop, monitor, and chair).
Premie
Opieka zdrowotna
Ubezpieczenie
Dofinansowanie szkoleń
Inne informacje
Must be based in, and available to work on-site full-time from, Gdańsk or Wrocław.
Capgemini
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