KLANIK is an IT Engineering consulting company that supports its clients in their digital and technological projects. The KLANIK Group now brings together more than 750 talents, working across 16 offices in Europe, North America, Africa, and the Middle East. These are committed, unconventional, and passionate experts, involved in strategic projects thanks to their high level of expertise in Software, DevOps, Cloud, Agility, Cybersecurity, Big Data & AI.
We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, working closely with BI, Analytics, and business stakeholders. Key Responsibilities Design and optimize ETL/ELT data pipelines on Databricks and AWS Maintain and evolve the Medallion architecture Build reusable frameworks for data ingestion, transformation, and validation Develop data models, schemas, and datasets for analytics and visualization Implement data quality checks and anomaly detection Apply DevOps and CI/CD practices, strongly leveraging Terraform Collaborate with cross-functional teams and support data infrastructure needs Document pipelines, data models, and technical processes Mentor team members and support Databricks platform administration
Required Qualifications Bachelor's degree in Computer Science or related field (Master's preferred) 3+ years of experience as a Data Engineer 2+ years building Databricks pipelines Strong SQL and Python / PySpark / SparkSQL skills 2+ years of dbt experience 1+ year of Terraform Experience with Git-based CI/CD workflows Strong knowledge of big data architectures and data modeling Nice to Have Experience with Snowflake, Redshift, or BigQuery Databricks administration experience API or streaming data ingestion experience Skills Strong analytical and problem-solving skills Excellent communication and stakeholder collaboration Ability to work in a fast-paced, data-driven environment
Data Engineer • Fort Lauderdale, United States
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