Data Engineer

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.

Job Description

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

Profile / Requirements :

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